PLEASE APPLY VIA THIS LINK - DO NOT USE THE BLUE APPLY BUTTON Aspect Capital Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billon of client assets, where technology is an integral part of the business. We are looking for an engineer to join our Data Engineering team. The team's role is broad, covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure. This is an exciting time to join the team as we consolidate our technology estate, revamp how we process and filter data, and overhaul the way data is accessed by our consumers, while continuing to onboard new datasets that enhance our strategies. We are a lean team owning end-to-end delivery from initial design through to operational support in production. 1-3 years working as a Data Engineer Expertise with Python and SQL Understanding of core database concepts Familiarity with a cloud platform or data warehouse SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, automated testing Ability to communicate clearly with technical and non-technical colleagues Experience in the following areas would be ideal: dbt and Snowflake Kafka Airflow Building a streaming platform to capture and aggregate large volumes of tick data Developing ELT pipelines to ingest and transform datasets with Python, Snowflake and dbt Enhancing client libraries to provide unified access to our entire data catalogue Supporting our Java live data feedhandlers Consolidating legacy MATLAB systems onto our strategic technology stack Working closely with quantitative developers, researchers and portfolio managers If you are passionate about technology, stay current with industry trends, follow engineering best practices, and are always looking for opportunities to improve systems, processes, and performance, then we would love to hear fromyou. PLEASE APPLY VIA THIS LINK - DO NOT USE THE BLUE APPLY BUTTON
Sep 15, 2025
Full time
PLEASE APPLY VIA THIS LINK - DO NOT USE THE BLUE APPLY BUTTON Aspect Capital Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billon of client assets, where technology is an integral part of the business. We are looking for an engineer to join our Data Engineering team. The team's role is broad, covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure. This is an exciting time to join the team as we consolidate our technology estate, revamp how we process and filter data, and overhaul the way data is accessed by our consumers, while continuing to onboard new datasets that enhance our strategies. We are a lean team owning end-to-end delivery from initial design through to operational support in production. 1-3 years working as a Data Engineer Expertise with Python and SQL Understanding of core database concepts Familiarity with a cloud platform or data warehouse SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, automated testing Ability to communicate clearly with technical and non-technical colleagues Experience in the following areas would be ideal: dbt and Snowflake Kafka Airflow Building a streaming platform to capture and aggregate large volumes of tick data Developing ELT pipelines to ingest and transform datasets with Python, Snowflake and dbt Enhancing client libraries to provide unified access to our entire data catalogue Supporting our Java live data feedhandlers Consolidating legacy MATLAB systems onto our strategic technology stack Working closely with quantitative developers, researchers and portfolio managers If you are passionate about technology, stay current with industry trends, follow engineering best practices, and are always looking for opportunities to improve systems, processes, and performance, then we would love to hear fromyou. PLEASE APPLY VIA THIS LINK - DO NOT USE THE BLUE APPLY BUTTON
About Javelin Javelin Global Commodities is a leading global commodities marketing, trading, logistics services and investment firm with offices in London, New York, San Diego, St Louis, Zug, India, Australia, Shanghai, Dubai and Singapore. Javelin was founded in 2015 and now operates across 50 countries and six continents with respect to more than 20 different commodities across thermal coal, metallurgical coal, iron ore, metals, hydrocarbons, power, freight, softs, and renewables. Established in 2015, Javelin employs over 200 people and is a unique place to grow your career. We take pride in our values, global reach, meritocratic culture and strong work ethic. Our success over the years has been built on our guiding principles of customer service, creativity, transparency, integrity, and responsibility. Whilst our footprint grows, we still foster a small-company atmosphere. We have a flat company structure and encourage collaboration across all seniority levels, teams and locations to generate the best ideas. We are committed to the wellbeing of our colleagues and organise various social evenings, sports clubs and lunchtime activities. Our London office has on-site gym facilities and a golf/sports simulator. Discover more at The Role The Quantitative Strategies team is a crucial part of Javelin and has some of the most varied responsibilities in the organisation. We are engaged in all aspects of deal development from conception to execution and interact with almost all business areas. Our role is similar to the Quantitative Strategist teams of investment banks and hedge funds, but the opportunity at Javelin is broader in scope and influence. Whilst the team is embedded on the trading floor and has a front office focus, our company performs significant logistical, financing, and operational activities and our group bridges all these areas. As a result, the problems that we have to solve are varied and challenging and the pace can be fast and pressurised. However, we believe that this is what makes the role exciting and fulfilling. Responsibilities Translate novel physical and financial trade ideas into deal structures that can be valued and analysed Develop pricing models and libraries to capture new business activity Evaluate risk and provide analysis of trading positions to facilitate hedging activity Collaborate with sales teams in customer negotiations or financing facilities Build risk reporting frameworks for portfolio sensitivities, VAR, credit, working capital attribution and margin for a range of vanilla and exotic financial instruments Understand and quantify funding, accounting, and tax implications of positions Design booking models and systems flows for new business ventures and commodities Support operations, logistics and settlements teams, troubleshooting errors and advising on how to reflect new or changing contract terms Work closely with developers in the Technology team to enhance infrastructure such as in-house trade management and physical commodity scheduling platforms Who We're Looking For We are looking for an enthusiastic, curious graduate with a strong aptitude for problem solving, pragmatic thinking and proficiency in programming. The role will be broadly split between deal structuring, project/library development in python and support (both debugging and user assistance). We are a small team with a wide range of experience and will provide immersive on-the-job training both technically and more generally in finance and trading. We look forward to sharing our knowledge and skills so that the successful candidate can prosper and cultivate a rewarding career at Javelin. Skills and Experience Required Studying Mathematics, Physics, Engineering or a similar technical subject at degree or post-graduate level Experience with a n object-oriented programming language, e.g., such as Python, Java, or Julia. R, Lua, Haskell etc Innovative thinker and problem solver Clear communication skills Proven ability to work collaboratively and under pressure Relevant internship placements an advantage Annual discretionary bonus 25 days holiday Company pension scheme (10% company contribution) Private medical scheme with a range of additional wellbeing benefits Travel insurance Income protection Life assurance (5x salary) Bike2Work scheme including secure storage and showers Season ticket loan Onsite gym Social environment with a breakout area with a golf simulator, darts board and foosball table.
Sep 15, 2025
Full time
About Javelin Javelin Global Commodities is a leading global commodities marketing, trading, logistics services and investment firm with offices in London, New York, San Diego, St Louis, Zug, India, Australia, Shanghai, Dubai and Singapore. Javelin was founded in 2015 and now operates across 50 countries and six continents with respect to more than 20 different commodities across thermal coal, metallurgical coal, iron ore, metals, hydrocarbons, power, freight, softs, and renewables. Established in 2015, Javelin employs over 200 people and is a unique place to grow your career. We take pride in our values, global reach, meritocratic culture and strong work ethic. Our success over the years has been built on our guiding principles of customer service, creativity, transparency, integrity, and responsibility. Whilst our footprint grows, we still foster a small-company atmosphere. We have a flat company structure and encourage collaboration across all seniority levels, teams and locations to generate the best ideas. We are committed to the wellbeing of our colleagues and organise various social evenings, sports clubs and lunchtime activities. Our London office has on-site gym facilities and a golf/sports simulator. Discover more at The Role The Quantitative Strategies team is a crucial part of Javelin and has some of the most varied responsibilities in the organisation. We are engaged in all aspects of deal development from conception to execution and interact with almost all business areas. Our role is similar to the Quantitative Strategist teams of investment banks and hedge funds, but the opportunity at Javelin is broader in scope and influence. Whilst the team is embedded on the trading floor and has a front office focus, our company performs significant logistical, financing, and operational activities and our group bridges all these areas. As a result, the problems that we have to solve are varied and challenging and the pace can be fast and pressurised. However, we believe that this is what makes the role exciting and fulfilling. Responsibilities Translate novel physical and financial trade ideas into deal structures that can be valued and analysed Develop pricing models and libraries to capture new business activity Evaluate risk and provide analysis of trading positions to facilitate hedging activity Collaborate with sales teams in customer negotiations or financing facilities Build risk reporting frameworks for portfolio sensitivities, VAR, credit, working capital attribution and margin for a range of vanilla and exotic financial instruments Understand and quantify funding, accounting, and tax implications of positions Design booking models and systems flows for new business ventures and commodities Support operations, logistics and settlements teams, troubleshooting errors and advising on how to reflect new or changing contract terms Work closely with developers in the Technology team to enhance infrastructure such as in-house trade management and physical commodity scheduling platforms Who We're Looking For We are looking for an enthusiastic, curious graduate with a strong aptitude for problem solving, pragmatic thinking and proficiency in programming. The role will be broadly split between deal structuring, project/library development in python and support (both debugging and user assistance). We are a small team with a wide range of experience and will provide immersive on-the-job training both technically and more generally in finance and trading. We look forward to sharing our knowledge and skills so that the successful candidate can prosper and cultivate a rewarding career at Javelin. Skills and Experience Required Studying Mathematics, Physics, Engineering or a similar technical subject at degree or post-graduate level Experience with a n object-oriented programming language, e.g., such as Python, Java, or Julia. R, Lua, Haskell etc Innovative thinker and problem solver Clear communication skills Proven ability to work collaboratively and under pressure Relevant internship placements an advantage Annual discretionary bonus 25 days holiday Company pension scheme (10% company contribution) Private medical scheme with a range of additional wellbeing benefits Travel insurance Income protection Life assurance (5x salary) Bike2Work scheme including secure storage and showers Season ticket loan Onsite gym Social environment with a breakout area with a golf simulator, darts board and foosball table.
At SEI we value our employees and believe in driving growth through change. Part of building brave futures is making a concerted effort to develop and challenge our employees to achieve their goals through internal job mobility. Quantitative Investment Management (QIM) team manages over 50 equity strategies across a variety of geographies, investment styles and risk/return profiles. The team is experiencing strong asset and account growth, requiring further investment into people, data, and tools. Quantitative Developer, Investment Management Unit, Quantitative Investment Management, London SEI is seeking to hire a Quantitative Developer to develop, enhance and support platforms and tools that facilitate signal research, portfolio construction, performance attribution and reporting. What you will do: Infrastructure (40%): Design, develop, and maintain high-quality, scalable systems using industry best practices, SOLID principles, and design patterns where applicable. Enhance and optimize systems for equity factor modelling, portfolio construction, trading, and reporting. Pipelines (20%): Identify and implement performance optimizations for data pipelines and processing workflows. Production (20%): Oversee the maintenance and operational stability of investment process systems and production jobs. Communication (20%): Ensure comprehensive documentation for applications, including system architecture and design specifications. Collaborate closely with senior developers to drive innovation and efficiency. What we need from you: 3+ years of professional development experience in a commercial environment, preferably from a quant equity setup. Proficiency in Python (3.9+), with experience in system architecture and application development. Good knowledge of multi-processing and multi-threaded programming. Solid understanding of design patterns, SOLID principles, and unit testing practices. 2+ years of experience with SQL, including query optimization and execution plan analysis. Experience with auditing, and CI CD processes, Bitbucket (Github), Team City, setup and create pipelines. Proficiency in data modelling, data management processes, and data profiling. Experience in developing APIs and working with WebSockets. Knowledge of React, Django, FastAPI, or equivalent technologies. Previous experience with AirFlow, Linux shell commands and setup websites on IIS. What we would like from you: Bachelor's or Master's degree in a relevant field. Creative and solutions-oriented, with the ability to excel in a fast-paced, self-starting environment. Exceptional analytical skills with a strong attention to detail. Strong problem-solving ability and a results-driven mindset. A collaborative and proactive approach, with a "roll-up-your-sleeves" attitude. Ability to explain results and model features to non-technical audiences. Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun. SEI is an Equal Opportunity Employer and so much more After over 50 years in business, SEI remains a leading global provider of investment processing, investment management and investment operations solutions. Reflecting our experience within financial services and financial technology our UK office is based between the City of London and the growing technology hub of Shoreditch. The open plan nature of our office space, flowing lines and numerous art installations are designed to encourage innovation and creativity in our workforce. We recognise that our people are our most valuable asset and are (literally) invested in your success; we know that a healthy, happy and motivated workforce is key to our continued growth. We are focused on ensuring a healthy work-life balance and offer our employees benefits which include private medical care for you and your family, access to GPs online for appointments, enhanced family leave, volunteer days, access to thriving employee networks and not forgetting free fruit twice a week. SEI Investments (Europe) Limited ('SIEL') is authorised and regulated by the Financial Conduct Authority (FRN 191713).
Sep 15, 2025
Full time
At SEI we value our employees and believe in driving growth through change. Part of building brave futures is making a concerted effort to develop and challenge our employees to achieve their goals through internal job mobility. Quantitative Investment Management (QIM) team manages over 50 equity strategies across a variety of geographies, investment styles and risk/return profiles. The team is experiencing strong asset and account growth, requiring further investment into people, data, and tools. Quantitative Developer, Investment Management Unit, Quantitative Investment Management, London SEI is seeking to hire a Quantitative Developer to develop, enhance and support platforms and tools that facilitate signal research, portfolio construction, performance attribution and reporting. What you will do: Infrastructure (40%): Design, develop, and maintain high-quality, scalable systems using industry best practices, SOLID principles, and design patterns where applicable. Enhance and optimize systems for equity factor modelling, portfolio construction, trading, and reporting. Pipelines (20%): Identify and implement performance optimizations for data pipelines and processing workflows. Production (20%): Oversee the maintenance and operational stability of investment process systems and production jobs. Communication (20%): Ensure comprehensive documentation for applications, including system architecture and design specifications. Collaborate closely with senior developers to drive innovation and efficiency. What we need from you: 3+ years of professional development experience in a commercial environment, preferably from a quant equity setup. Proficiency in Python (3.9+), with experience in system architecture and application development. Good knowledge of multi-processing and multi-threaded programming. Solid understanding of design patterns, SOLID principles, and unit testing practices. 2+ years of experience with SQL, including query optimization and execution plan analysis. Experience with auditing, and CI CD processes, Bitbucket (Github), Team City, setup and create pipelines. Proficiency in data modelling, data management processes, and data profiling. Experience in developing APIs and working with WebSockets. Knowledge of React, Django, FastAPI, or equivalent technologies. Previous experience with AirFlow, Linux shell commands and setup websites on IIS. What we would like from you: Bachelor's or Master's degree in a relevant field. Creative and solutions-oriented, with the ability to excel in a fast-paced, self-starting environment. Exceptional analytical skills with a strong attention to detail. Strong problem-solving ability and a results-driven mindset. A collaborative and proactive approach, with a "roll-up-your-sleeves" attitude. Ability to explain results and model features to non-technical audiences. Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun. SEI is an Equal Opportunity Employer and so much more After over 50 years in business, SEI remains a leading global provider of investment processing, investment management and investment operations solutions. Reflecting our experience within financial services and financial technology our UK office is based between the City of London and the growing technology hub of Shoreditch. The open plan nature of our office space, flowing lines and numerous art installations are designed to encourage innovation and creativity in our workforce. We recognise that our people are our most valuable asset and are (literally) invested in your success; we know that a healthy, happy and motivated workforce is key to our continued growth. We are focused on ensuring a healthy work-life balance and offer our employees benefits which include private medical care for you and your family, access to GPs online for appointments, enhanced family leave, volunteer days, access to thriving employee networks and not forgetting free fruit twice a week. SEI Investments (Europe) Limited ('SIEL') is authorised and regulated by the Financial Conduct Authority (FRN 191713).
Overview Amazon Games recherche un.e scientifique en apprentissage automatique sénior.e pour développer et intégrer de nouvelles approches d'apprentissage automatique (ML), d'apprentissage par renforcement (RL) et d'IA générative (Gen AI) dans nos processus de développement de jeux et dans nos expériences de jeux. Dans ce rôle, vous travaillerez en étroite collaboration avec nos studios de développement de jeux et nos équipes opérationnelles pour imaginer et développer des outils, des processus et des fonctionnalités alimentés par l'IA générative à travers Amazon Games. Chez Amazon Games, notre ambition est de créer de expériences inédites et audacieuses qui rassemblent et cultivent les communautés de joueurs et de joueuses. Notre équipe d'experts de l'industrie développe des jeux multijoueurs AAA et des propriétés intellectuelles originales, avec des équipes à Seattle, Orange County, San Diego, Montréal et Bucarest. À travers nos divisions - Studios, Publishing et Prime Gaming et en collaboration avec des partenaires externes, nous développons, publions et livrons des jeux et des expériences de contenu exceptionnelles pour les joueurs et joueuses. English: Amazon Games is seeking a highly effective Senior Machine Learning Scientist to build and integrate novel ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will work closely with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games. English Overview: At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover. Responsibilities Responsabilités Diriger la recherche, l'implémentation et la mise en production d'initiatives ambitieuses et complexes en IA/ML pour Amazon Games. Collaborer avec les équipes de programmation, de conception et artistique pour concevoir, développer et intégrer de nouveaux outils d'IA générative dans les flux de travail des développeuses et développeurs. Identifier et résoudre de manière proactive les problèmes qui affectent la qualité de vie des joueurs, des opérations et des autres développeurs. Se tenir au courant et analyser les dernières avancées en matière de technologie d'IA générative, et améliorer continuellement les fonctionnalités des produits lorsque des améliorations significatives en termes de coût, d'évolutivité, de qualité ou de fonctionnalité peuvent être réalisées. Consulter et contribuer aux évaluations d'autres services internes ou tiers de ML, RL et Gen AI qui pourraient être utilisés par le projet ou l'organisation. English Responsibilities: Drive the research, implementation, and productionizing for ambitious and complex AI/ML initiatives for Amazon Games. Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows. Proactively identify and solve problems that affect the quality of life for players, operations, and other developers. Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved. Consult and contribute to evaluations of other internal or 3rd ML, RL and Gen AI services that could be leveraged by the project or the organization. A day in the life Une journée type Vous vous épanouissez dans un environnement collaboratif où vos décisions ont un impact et une influence significatifs. Vous exprimer votre passion par la création d'expériences de jeu qui ravissent les joueurs et les joueuses. Vous proposez d'excellents flux de travail, outils et innovations de jeu à vos collègues et aux équipes de développement et recherchez constamment l'amélioration. Vous souhaitez faire partie de quelque chose d'excitant et unique dans l'écosystème du jeu. English: You thrive in a collaborative environment where your decisions have significant impact and influence. You are passionate about building game experiences that delight players. You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement. You want to be part of something exciting and unique in the gaming ecosystem. About the team À propos de l'équipe L'équipe de recherche en IA d'Amazon Games Studio se concentre sur l'innovation en intelligence artificielle dans le domaine du jeu vidéo. Notre équipe hautement qualifiée et multidisciplinaire travaille sur l'apprentissage automatique, l'apprentissage par renforcement et l'IA générative pour réinventer le développement des jeux. Nous travaillons de près avec les équipe internes et nos studios partenaires pour donner vie à leur vision créative. Notre mission est d'utiliser l'IA de manière responsable pour transformer l'expérience de jeu, enrichir les récits, et fournir aux créateurs et créatrices des outils pratiques pour optimiser leurs chaînes de production. English: The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines. Qualifications BASIC QUALIFICATIONS Qualifications de base Maîtrise en sciences dans le domaine de l'apprentissage automatique, du traitement du langage naturel (NLP) ou dans un domaine quantitatif connexe 5+ années d'expérience des méthodes d'apprentissage profond neural et d'apprentissage automatique 5+ années d'expérience en programmation en C++, Python ou langage connexe 5+ années d'expérience dans la construction de modèles d'apprentissage automatique pour des applications commerciales 6+ années d'expérience en recherche appliquée 3+ années d'expérience dans le mentorat de collègues juniors et/ou contribution en tant que leader par le biais d'entretiens, de gestion d'équipe ou similaire 1+ année d'expérience dans le développement de jeux (ou domaine du divertissement similaire), y compris le travail avec des conceptrices, concepteurs et des artistes Maîtrise du français et de l'anglais, à l'oral et à l'écrit; la connaissance du français et de l'anglais est exigée pour ce poste. English Basic Qualifications: Masters of Science degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field 5+ years of experience with neural deep learning methods and machine learning 5+ years of experience programming in C++, Python or related language 5+ years of experience in building machine learning models for business application 6+ years of experience in applied research 3+ years of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar 1+ years of experience in Game development (or similar entertainment field) including working with game designers and artists Strong verbal and written communication skills, in French and English; bilingual requirement due to interaction with global teams. Preferred Qualifications Qualifications souhaitables Doctorat en apprentissage automatique, traitement du langage naturel (NLP) ou dans un domaine quantitatif connexe 1+ année d'expérience dans la construction d'applications utilisant des modèles d'IA générative via l'ingénierie de prompts, RAG, RLHF, fine-tuning ou d'autres approches modernes Connaissance approfondie et expérience pratique dans au moins l'un de ces domaines: systèmes d'apprentissage profond, NLP, apprentissage par renforcement Expérience dans la construction de produits ML/IA destinés aux joueuses et joueurs Nous savons que votre talent et vos habilités peuvent s'exprimer par des expériences variées et pertinentes. Nous vous incitons donc à postuler, même si vous ne présentez peut-être pas toutes les qualifications listées. English Preferred Qualifications: PhD degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field 1+ year of experience building applications to use generative AI models via prompt engineering, RAG, RLHF, fine tuning or other modern approaches Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning Experience building player facing ML/AI products for games We recognize that your talents and skills can be expressed through a variety of relevant experiences. We encourage you to apply, even if you do not have all the qualifications listed. . click apply for full job details
Sep 15, 2025
Full time
Overview Amazon Games recherche un.e scientifique en apprentissage automatique sénior.e pour développer et intégrer de nouvelles approches d'apprentissage automatique (ML), d'apprentissage par renforcement (RL) et d'IA générative (Gen AI) dans nos processus de développement de jeux et dans nos expériences de jeux. Dans ce rôle, vous travaillerez en étroite collaboration avec nos studios de développement de jeux et nos équipes opérationnelles pour imaginer et développer des outils, des processus et des fonctionnalités alimentés par l'IA générative à travers Amazon Games. Chez Amazon Games, notre ambition est de créer de expériences inédites et audacieuses qui rassemblent et cultivent les communautés de joueurs et de joueuses. Notre équipe d'experts de l'industrie développe des jeux multijoueurs AAA et des propriétés intellectuelles originales, avec des équipes à Seattle, Orange County, San Diego, Montréal et Bucarest. À travers nos divisions - Studios, Publishing et Prime Gaming et en collaboration avec des partenaires externes, nous développons, publions et livrons des jeux et des expériences de contenu exceptionnelles pour les joueurs et joueuses. English: Amazon Games is seeking a highly effective Senior Machine Learning Scientist to build and integrate novel ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will work closely with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games. English Overview: At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover. Responsibilities Responsabilités Diriger la recherche, l'implémentation et la mise en production d'initiatives ambitieuses et complexes en IA/ML pour Amazon Games. Collaborer avec les équipes de programmation, de conception et artistique pour concevoir, développer et intégrer de nouveaux outils d'IA générative dans les flux de travail des développeuses et développeurs. Identifier et résoudre de manière proactive les problèmes qui affectent la qualité de vie des joueurs, des opérations et des autres développeurs. Se tenir au courant et analyser les dernières avancées en matière de technologie d'IA générative, et améliorer continuellement les fonctionnalités des produits lorsque des améliorations significatives en termes de coût, d'évolutivité, de qualité ou de fonctionnalité peuvent être réalisées. Consulter et contribuer aux évaluations d'autres services internes ou tiers de ML, RL et Gen AI qui pourraient être utilisés par le projet ou l'organisation. English Responsibilities: Drive the research, implementation, and productionizing for ambitious and complex AI/ML initiatives for Amazon Games. Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows. Proactively identify and solve problems that affect the quality of life for players, operations, and other developers. Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved. Consult and contribute to evaluations of other internal or 3rd ML, RL and Gen AI services that could be leveraged by the project or the organization. A day in the life Une journée type Vous vous épanouissez dans un environnement collaboratif où vos décisions ont un impact et une influence significatifs. Vous exprimer votre passion par la création d'expériences de jeu qui ravissent les joueurs et les joueuses. Vous proposez d'excellents flux de travail, outils et innovations de jeu à vos collègues et aux équipes de développement et recherchez constamment l'amélioration. Vous souhaitez faire partie de quelque chose d'excitant et unique dans l'écosystème du jeu. English: You thrive in a collaborative environment where your decisions have significant impact and influence. You are passionate about building game experiences that delight players. You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement. You want to be part of something exciting and unique in the gaming ecosystem. About the team À propos de l'équipe L'équipe de recherche en IA d'Amazon Games Studio se concentre sur l'innovation en intelligence artificielle dans le domaine du jeu vidéo. Notre équipe hautement qualifiée et multidisciplinaire travaille sur l'apprentissage automatique, l'apprentissage par renforcement et l'IA générative pour réinventer le développement des jeux. Nous travaillons de près avec les équipe internes et nos studios partenaires pour donner vie à leur vision créative. Notre mission est d'utiliser l'IA de manière responsable pour transformer l'expérience de jeu, enrichir les récits, et fournir aux créateurs et créatrices des outils pratiques pour optimiser leurs chaînes de production. English: The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines. Qualifications BASIC QUALIFICATIONS Qualifications de base Maîtrise en sciences dans le domaine de l'apprentissage automatique, du traitement du langage naturel (NLP) ou dans un domaine quantitatif connexe 5+ années d'expérience des méthodes d'apprentissage profond neural et d'apprentissage automatique 5+ années d'expérience en programmation en C++, Python ou langage connexe 5+ années d'expérience dans la construction de modèles d'apprentissage automatique pour des applications commerciales 6+ années d'expérience en recherche appliquée 3+ années d'expérience dans le mentorat de collègues juniors et/ou contribution en tant que leader par le biais d'entretiens, de gestion d'équipe ou similaire 1+ année d'expérience dans le développement de jeux (ou domaine du divertissement similaire), y compris le travail avec des conceptrices, concepteurs et des artistes Maîtrise du français et de l'anglais, à l'oral et à l'écrit; la connaissance du français et de l'anglais est exigée pour ce poste. English Basic Qualifications: Masters of Science degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field 5+ years of experience with neural deep learning methods and machine learning 5+ years of experience programming in C++, Python or related language 5+ years of experience in building machine learning models for business application 6+ years of experience in applied research 3+ years of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar 1+ years of experience in Game development (or similar entertainment field) including working with game designers and artists Strong verbal and written communication skills, in French and English; bilingual requirement due to interaction with global teams. Preferred Qualifications Qualifications souhaitables Doctorat en apprentissage automatique, traitement du langage naturel (NLP) ou dans un domaine quantitatif connexe 1+ année d'expérience dans la construction d'applications utilisant des modèles d'IA générative via l'ingénierie de prompts, RAG, RLHF, fine-tuning ou d'autres approches modernes Connaissance approfondie et expérience pratique dans au moins l'un de ces domaines: systèmes d'apprentissage profond, NLP, apprentissage par renforcement Expérience dans la construction de produits ML/IA destinés aux joueuses et joueurs Nous savons que votre talent et vos habilités peuvent s'exprimer par des expériences variées et pertinentes. Nous vous incitons donc à postuler, même si vous ne présentez peut-être pas toutes les qualifications listées. English Preferred Qualifications: PhD degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field 1+ year of experience building applications to use generative AI models via prompt engineering, RAG, RLHF, fine tuning or other modern approaches Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning Experience building player facing ML/AI products for games We recognize that your talents and skills can be expressed through a variety of relevant experiences. We encourage you to apply, even if you do not have all the qualifications listed. . click apply for full job details
Job Title: Contract C++ Quant Developer - Core Library Architect Role Overview We are seeking a highly skilled Contract C++ Quant Developer to join our Equity Derivatives Quant team within Global Banking and Markets. This role is focused on the design and implementation of the core quantitative pricing library architecture , supporting structured equity derivatives. The successful candidate will play a pivotal role in building robust, scalable, and high-performance infrastructure for pricing, risk, and P&L analytics. This is a C++ development role , requiring deep expertise in modern C++ and quantitative finance. You will work closely with Quantitative Modellers, Traders, Risk, Finance, and Technology teams to deliver mission-critical components of our quant platform. Key Responsibilities Architect and implement the core quant pricing library in C++ for structured equity derivatives. Design and build infrastructure for: FRTB IMA regulatory reporting End-of-day and intraday risk and P&L calculations Market data marking pipelines Collaborate with Quant Modellers to integrate models into the core library. Develop quantitative tooling to support analytics and reporting. Ensure high performance, reliability, and maintainability of the codebase. Engage with global stakeholders across trading, risk, and technology. Essential Skills & Experience 5+ years of professional C++ development experience , ideally with Visual Studio 2022. Proven experience in designing and building quant libraries in a front-office environment. Strong Python skills (5+ years) for tooling and integration. Deep understanding of standard pricing models in investment banking. Experience with test-driven development and CI/CD pipelines . Degree in Mathematical Finance, Mathematics, Physics, Computer Science, or related field from a top-tier university. Desirable Skills Knowledge of: Equity and Equity Derivatives instruments Risk measures: VaR, ES, P&L explain, sensitivity analysis Distributed computing and serialization techniques Cross-platform C++ development Excel for data analysis and reporting Ability to thrive in a fast-paced, multi-output environment.
Sep 15, 2025
Full time
Job Title: Contract C++ Quant Developer - Core Library Architect Role Overview We are seeking a highly skilled Contract C++ Quant Developer to join our Equity Derivatives Quant team within Global Banking and Markets. This role is focused on the design and implementation of the core quantitative pricing library architecture , supporting structured equity derivatives. The successful candidate will play a pivotal role in building robust, scalable, and high-performance infrastructure for pricing, risk, and P&L analytics. This is a C++ development role , requiring deep expertise in modern C++ and quantitative finance. You will work closely with Quantitative Modellers, Traders, Risk, Finance, and Technology teams to deliver mission-critical components of our quant platform. Key Responsibilities Architect and implement the core quant pricing library in C++ for structured equity derivatives. Design and build infrastructure for: FRTB IMA regulatory reporting End-of-day and intraday risk and P&L calculations Market data marking pipelines Collaborate with Quant Modellers to integrate models into the core library. Develop quantitative tooling to support analytics and reporting. Ensure high performance, reliability, and maintainability of the codebase. Engage with global stakeholders across trading, risk, and technology. Essential Skills & Experience 5+ years of professional C++ development experience , ideally with Visual Studio 2022. Proven experience in designing and building quant libraries in a front-office environment. Strong Python skills (5+ years) for tooling and integration. Deep understanding of standard pricing models in investment banking. Experience with test-driven development and CI/CD pipelines . Degree in Mathematical Finance, Mathematics, Physics, Computer Science, or related field from a top-tier university. Desirable Skills Knowledge of: Equity and Equity Derivatives instruments Risk measures: VaR, ES, P&L explain, sensitivity analysis Distributed computing and serialization techniques Cross-platform C++ development Excel for data analysis and reporting Ability to thrive in a fast-paced, multi-output environment.
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading products as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated multiple crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. Read more here. Working in the DeFi team We are always on a look out for potential talent to join our DeFi team. Whether you are a developer, trader or a graduate, we are keen to hear from you. The focus is to help us build and maintain the systems that drive our on-chain searching. You will focus both on designing and implementing trading strategies as well as the core microservices and backend infrastructure required by the trading engine. Our trading is very technologically focused and our traders are akin to programmatic problem solvers. Similar to the ethos of most builders within the space, this role requires you to wear many hats. You will work and contribute across multiple code bases in a variety of languages whilst pushing and exploring the frontiers of the design space within the ecosystem. We pride ourselves on running a tight knit and collaborative team and so you can expect to work closely with experienced traders and developers who will be teaching and guiding you on how to contribute and improve our systems. Team members are encouraged to cultivate their own narratives, challenge each other and investigate new domains together. Requirements Proficiency in programming with at least one of the following: Python, Rust or Go Comfortable working on Linux environments and Git version control Experience with programmatic statistical analysis and quantitative / analytic skills High level understanding of high-frequency market making strategies Understanding of blockchain fundamentals and mechanics of the EVM Familiarity with smart contract development and the Foundry toolkit A passion for learning about protocol microstructure and design mechanisms Note: For Singapore - we are able to sponsor an Employment Pass for exceptional candidates however, we do prefer applicants to have a Singapore PR. Find out more: Website Twitter Linkedin YouTube
Sep 14, 2025
Full time
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading products as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated multiple crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. Read more here. Working in the DeFi team We are always on a look out for potential talent to join our DeFi team. Whether you are a developer, trader or a graduate, we are keen to hear from you. The focus is to help us build and maintain the systems that drive our on-chain searching. You will focus both on designing and implementing trading strategies as well as the core microservices and backend infrastructure required by the trading engine. Our trading is very technologically focused and our traders are akin to programmatic problem solvers. Similar to the ethos of most builders within the space, this role requires you to wear many hats. You will work and contribute across multiple code bases in a variety of languages whilst pushing and exploring the frontiers of the design space within the ecosystem. We pride ourselves on running a tight knit and collaborative team and so you can expect to work closely with experienced traders and developers who will be teaching and guiding you on how to contribute and improve our systems. Team members are encouraged to cultivate their own narratives, challenge each other and investigate new domains together. Requirements Proficiency in programming with at least one of the following: Python, Rust or Go Comfortable working on Linux environments and Git version control Experience with programmatic statistical analysis and quantitative / analytic skills High level understanding of high-frequency market making strategies Understanding of blockchain fundamentals and mechanics of the EVM Familiarity with smart contract development and the Foundry toolkit A passion for learning about protocol microstructure and design mechanisms Note: For Singapore - we are able to sponsor an Employment Pass for exceptional candidates however, we do prefer applicants to have a Singapore PR. Find out more: Website Twitter Linkedin YouTube
Overview Department: Engineering Employment Type: Full Time Location: London, UK Description About White Swan Data Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board. As a startup, we offer a dynamic and entrepreneurial environment where you'll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry. About the Role Following the recent acquisition of a high-potential affiliate website in the iGaming sector, we are looking for a driven SEO Manager to take complete ownership of this asset. Your mission will be to architect and execute the strategy that unlocks its full growth potential. The ideal candidate is a hands-on SEO expert, deeply skilled in technical optimisation, on-page strategy, and link building. You will work closely with our development team to coordinate site improvements, take the lead on writing and editing authoritative content, train up colleagues to help with all aspects of the business, and call in freelancers if needed. This is a foundational role with a significant opportunity for growth. We are committed to expanding this area of our business, and we are looking for an entrepreneurial person to help build, lead, and shape the future. Key Responsibilities Drive SEO strategy by conducting in-depth technical audits, keyword research, site architecture reviews, and competitor analysis. Collaborate proactively with the product team to resolve technical SEO issues and optimise conversion-focused user journeys. Own the entire content production lifecycle, from planning and creation to ensuring every piece is optimised for search intent. Direct and manage external resources, including agencies and freelancers, and lead hiring for new team members as required. Help deliver clear and actionable performance reports to senior management, highlighting key metrics, progress, and strategic recommendations. Develop and execute a high-impact link-building strategy. Mentor colleagues to build team-wide SEO expertise. Skills, Knowledge and Expertise Must have: 5+ years of hands-on SEO experience, with a proven track record of driving organic growth through expert-level technical and on-page SEO. Exceptional content skills, including hands-on experience in writing, editing, and managing freelance content creators to maintain a high standard of quality. Proven success in link building, with experience designing and executing strategies to acquire high-authority backlinks. Deep proficiency with the modern SEO toolkit, including GA4, GSC, GTM, Ahrefs/Semrush, Clicky. Expertise with WordPress, demonstrating the ability to manage content, plugins, and site structure effectively. Nice to have: Direct experience in the iGaming / online gambling sector is a significant advantage. Previous experience managing or owning an affiliate website. Experience leading a small team or having direct line management responsibilities. A strong understanding of how to leverage AI tools ethically and effectively to scale SEO and content processes. Working knowledge of basic web development (wordpress, HTML, CSS, JavaScript) for more effective collaboration with developers. Familiarity with the cryptocurrency space, particularly as it relates to gambling/iGaming. Experience using web crawlers (Screaming Frog, etc). Benefits Salary depending on experience. Discretionary performance bonus. Equity upside. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in every day and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
Sep 14, 2025
Full time
Overview Department: Engineering Employment Type: Full Time Location: London, UK Description About White Swan Data Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board. As a startup, we offer a dynamic and entrepreneurial environment where you'll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry. About the Role Following the recent acquisition of a high-potential affiliate website in the iGaming sector, we are looking for a driven SEO Manager to take complete ownership of this asset. Your mission will be to architect and execute the strategy that unlocks its full growth potential. The ideal candidate is a hands-on SEO expert, deeply skilled in technical optimisation, on-page strategy, and link building. You will work closely with our development team to coordinate site improvements, take the lead on writing and editing authoritative content, train up colleagues to help with all aspects of the business, and call in freelancers if needed. This is a foundational role with a significant opportunity for growth. We are committed to expanding this area of our business, and we are looking for an entrepreneurial person to help build, lead, and shape the future. Key Responsibilities Drive SEO strategy by conducting in-depth technical audits, keyword research, site architecture reviews, and competitor analysis. Collaborate proactively with the product team to resolve technical SEO issues and optimise conversion-focused user journeys. Own the entire content production lifecycle, from planning and creation to ensuring every piece is optimised for search intent. Direct and manage external resources, including agencies and freelancers, and lead hiring for new team members as required. Help deliver clear and actionable performance reports to senior management, highlighting key metrics, progress, and strategic recommendations. Develop and execute a high-impact link-building strategy. Mentor colleagues to build team-wide SEO expertise. Skills, Knowledge and Expertise Must have: 5+ years of hands-on SEO experience, with a proven track record of driving organic growth through expert-level technical and on-page SEO. Exceptional content skills, including hands-on experience in writing, editing, and managing freelance content creators to maintain a high standard of quality. Proven success in link building, with experience designing and executing strategies to acquire high-authority backlinks. Deep proficiency with the modern SEO toolkit, including GA4, GSC, GTM, Ahrefs/Semrush, Clicky. Expertise with WordPress, demonstrating the ability to manage content, plugins, and site structure effectively. Nice to have: Direct experience in the iGaming / online gambling sector is a significant advantage. Previous experience managing or owning an affiliate website. Experience leading a small team or having direct line management responsibilities. A strong understanding of how to leverage AI tools ethically and effectively to scale SEO and content processes. Working knowledge of basic web development (wordpress, HTML, CSS, JavaScript) for more effective collaboration with developers. Familiarity with the cryptocurrency space, particularly as it relates to gambling/iGaming. Experience using web crawlers (Screaming Frog, etc). Benefits Salary depending on experience. Discretionary performance bonus. Equity upside. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in every day and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
About G20 Group The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance click apply for full job details
Sep 13, 2025
Full time
About G20 Group The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance click apply for full job details
Overview White Swan Data is a small but rapidly growing team of mathematicians, data scientists and software engineers who are constantly striving to refine world class probability models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. We are always on the look-out for talented python developers to join our team. As a member of our development team, you will be working on a variety of different projects and help drive our continued success. Key Responsibilities Collaborate with product owners, business managers and other developers to understand user requirements and develop high-quality software solutions. Write clean, maintainable, and efficient code that adheres to industry best practices and coding standards. Debug, troubleshoot, and resolve software defects and issues in a timely manner. Develop using the most suitable language with a bias to Python. Participate in code reviews, testing, and deployment processes to ensure software quality and reliability. Stay up-to-date with the latest trends and technologies in python development and apply them to improve the performance and usability of our web applications. Skills, Knowledge and Expertise Commercial development experience. Strong proficiency in Python programming and related libraries/frameworks. Experience with web scraping techniques and tools. Demonstrably strong attention to detail. Strong problem-solving and analytical skills, with a keen attention to detail. Bachelor's degree in Computer Science, Software Engineering, or a related field. Strong communication and collaboration skills. Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
Sep 13, 2025
Full time
Overview White Swan Data is a small but rapidly growing team of mathematicians, data scientists and software engineers who are constantly striving to refine world class probability models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. We are always on the look-out for talented python developers to join our team. As a member of our development team, you will be working on a variety of different projects and help drive our continued success. Key Responsibilities Collaborate with product owners, business managers and other developers to understand user requirements and develop high-quality software solutions. Write clean, maintainable, and efficient code that adheres to industry best practices and coding standards. Debug, troubleshoot, and resolve software defects and issues in a timely manner. Develop using the most suitable language with a bias to Python. Participate in code reviews, testing, and deployment processes to ensure software quality and reliability. Stay up-to-date with the latest trends and technologies in python development and apply them to improve the performance and usability of our web applications. Skills, Knowledge and Expertise Commercial development experience. Strong proficiency in Python programming and related libraries/frameworks. Experience with web scraping techniques and tools. Demonstrably strong attention to detail. Strong problem-solving and analytical skills, with a keen attention to detail. Bachelor's degree in Computer Science, Software Engineering, or a related field. Strong communication and collaboration skills. Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
Senior Analyst, Portfolio Management page is loaded Senior Analyst, Portfolio Management Apply locations London Corporate Office, London, UK time type Full time posted on Posted 14 Days Ago job requisition id R ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in nearly 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages over 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of nearly $78 billion of assets under management, including over $35 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit . JOB DESCRIPTION SUMMARY The Senior Analyst is responsible for supporting all aspects of the portfolio management functions of the business including allocation decisions, hold-sell decisions, financings, equity raising, and relationship management. The Portfolio Management team at Greystar plays a pivotal role in driving value creation for both our institutional partners and the internal business through effective collaboration with key internal and external stakeholders. This team is involved in critical allocation, financing, disposition, and structuring decisions. Additionally, they are instrumental in cultivating and maintaining robust relationships with external investors, ensuring alignment on the key targets of each venture. This is a central and diverse role that provides support for, and input to, investment and portfolio management activities, through research, modelling and preparing analysis to support all functions of the portfolio management team. The Senior Analyst will also support the analysis and presentation of key performance information both internally and to external investment partners to drive well-informed and value-enhancing decisions on new and existing strategies. JOB DESCRIPTION Key Role Responsibilities Primary responsibilities may include but are not limited to: Prepare financial models to support ongoing portfolio management decisions including, but not limited to, new acquisition activity, hold-sell analysis and financing decisions; Assess the performance of the portfolio(s) against budget and underwriting, highlighting any points of exception or opportunity; Work with colleagues to monitor performance of specific initiatives and deliver key performance metrics to the business covering leasing performance, income, expense and returns; Oversee the preparation of materials and deliverables for presentation to internal committees, current and prospective investors, and other stakeholders; Assist in new venture formation, including preparation of life-of-fund models and strategy papers, as well as supporting the entities' creation, structuring and legal documentation; Support the annual rent and budget-setting process; Work with stakeholders across the business to improve our reporting systems and data capture to drive visibility and efficiency; Support the mobilisation of new assets and portfolios into the business; Monitor and report on key market, industry and competitor data; Complete financial, accounting, narrative, and administrative reports, as well as analyses key to the successful execution of the business plans. Knowledge & Qualifications Educated to degree level or equivalent (2:1 and above) in a related business or analytical subject; such as finance, business management, real estate, accounting, economics, mathematics, statistics; science or engineering. IT literate and fully conversant with all Microsoft packages including PowerPoint (Advanced level) and Excel (Advanced level). Experience & Skills Essential: Demonstrable experience in an analytical role within investment banking, private equity, or other related finance; Strong quantitative background with experience in financial modelling, valuations and financial analysis; Strong qualitative analytical skills; having the ability to research, analyse and present complex financial data; Highly numerate, with strong attention to detail; Strong written and verbal communication skills; including the ability to effectively write and present reports and information; Excellent interpersonal skills including the ability to establish and maintain positive relationships at all levels; Good organisation skills and the ability to work effectively under pressure and to deadlines; Naturally inquisitive and commercially minded, with a desire to understand the bigger picture and contribute to understanding and solving problems; A positive team player, with an adaptable and flexible approach along with ability to work collaboratively to drive results and support the wider team and business objectives; An interest in Real Estate. Desirable: Demonstrable experience working in the Real Estate Sector. Experience working in residential sector or on residential projects. Fluency in a European Language. Welcome Our continued success depends on our people. If you are looking for a career that values dedication, collaboration, and integrity, we are looking for you! Greystar is a vertically integrated real estate company offering expertise in property management, investment management, and development & construction globally. Today, we are the largest rental housing operator and developer in the US and one of the largest global investment management companies delivering industry-leading services to investors, clients, and residents. Please explore the current open positions, apply to a role(s) that you feel will suit you and your skillset. You can keep track of your applications and the process here in your Candidate Home. Thank you for your interest in working at Greystar About Us As a Greystar team member, you will hear a lot about our Core Values. They are the values we live and work by, reflecting who we are and the quality of our relationships. We believe in always going that extra step for our residents, clients, investors, and each other. Integrity We stay true to the highest ethical standards and principles, and are honest, trustworthy, humble, and respectful in all of our words and actions. Equality We celebrate individual differences, encourage diversity of thought, provide equality of opportunity, and cultivate an environment where all individuals are seen, treated, and valued equally. Professionalism We proudly present a positive, dignified, and businesslike image at all times through our appearances, behavior, and interactions with others. Accountability We take responsibility and accept ownership for our words, actions, tasks, and results, and respectfully hold others to the same standard. Service We make service our top priority by giving our time, knowledge, and experience to serve the needs of our customers, community, and team members. Teamwork We work together to accomplish goals, solve problems, and enrich our work environment. Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in nearly 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages over 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of nearly $78 billion of assets under management, including over $35 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business.
Sep 13, 2025
Full time
Senior Analyst, Portfolio Management page is loaded Senior Analyst, Portfolio Management Apply locations London Corporate Office, London, UK time type Full time posted on Posted 14 Days Ago job requisition id R ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in nearly 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages over 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of nearly $78 billion of assets under management, including over $35 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit . JOB DESCRIPTION SUMMARY The Senior Analyst is responsible for supporting all aspects of the portfolio management functions of the business including allocation decisions, hold-sell decisions, financings, equity raising, and relationship management. The Portfolio Management team at Greystar plays a pivotal role in driving value creation for both our institutional partners and the internal business through effective collaboration with key internal and external stakeholders. This team is involved in critical allocation, financing, disposition, and structuring decisions. Additionally, they are instrumental in cultivating and maintaining robust relationships with external investors, ensuring alignment on the key targets of each venture. This is a central and diverse role that provides support for, and input to, investment and portfolio management activities, through research, modelling and preparing analysis to support all functions of the portfolio management team. The Senior Analyst will also support the analysis and presentation of key performance information both internally and to external investment partners to drive well-informed and value-enhancing decisions on new and existing strategies. JOB DESCRIPTION Key Role Responsibilities Primary responsibilities may include but are not limited to: Prepare financial models to support ongoing portfolio management decisions including, but not limited to, new acquisition activity, hold-sell analysis and financing decisions; Assess the performance of the portfolio(s) against budget and underwriting, highlighting any points of exception or opportunity; Work with colleagues to monitor performance of specific initiatives and deliver key performance metrics to the business covering leasing performance, income, expense and returns; Oversee the preparation of materials and deliverables for presentation to internal committees, current and prospective investors, and other stakeholders; Assist in new venture formation, including preparation of life-of-fund models and strategy papers, as well as supporting the entities' creation, structuring and legal documentation; Support the annual rent and budget-setting process; Work with stakeholders across the business to improve our reporting systems and data capture to drive visibility and efficiency; Support the mobilisation of new assets and portfolios into the business; Monitor and report on key market, industry and competitor data; Complete financial, accounting, narrative, and administrative reports, as well as analyses key to the successful execution of the business plans. Knowledge & Qualifications Educated to degree level or equivalent (2:1 and above) in a related business or analytical subject; such as finance, business management, real estate, accounting, economics, mathematics, statistics; science or engineering. IT literate and fully conversant with all Microsoft packages including PowerPoint (Advanced level) and Excel (Advanced level). Experience & Skills Essential: Demonstrable experience in an analytical role within investment banking, private equity, or other related finance; Strong quantitative background with experience in financial modelling, valuations and financial analysis; Strong qualitative analytical skills; having the ability to research, analyse and present complex financial data; Highly numerate, with strong attention to detail; Strong written and verbal communication skills; including the ability to effectively write and present reports and information; Excellent interpersonal skills including the ability to establish and maintain positive relationships at all levels; Good organisation skills and the ability to work effectively under pressure and to deadlines; Naturally inquisitive and commercially minded, with a desire to understand the bigger picture and contribute to understanding and solving problems; A positive team player, with an adaptable and flexible approach along with ability to work collaboratively to drive results and support the wider team and business objectives; An interest in Real Estate. Desirable: Demonstrable experience working in the Real Estate Sector. Experience working in residential sector or on residential projects. Fluency in a European Language. Welcome Our continued success depends on our people. If you are looking for a career that values dedication, collaboration, and integrity, we are looking for you! Greystar is a vertically integrated real estate company offering expertise in property management, investment management, and development & construction globally. Today, we are the largest rental housing operator and developer in the US and one of the largest global investment management companies delivering industry-leading services to investors, clients, and residents. Please explore the current open positions, apply to a role(s) that you feel will suit you and your skillset. You can keep track of your applications and the process here in your Candidate Home. Thank you for your interest in working at Greystar About Us As a Greystar team member, you will hear a lot about our Core Values. They are the values we live and work by, reflecting who we are and the quality of our relationships. We believe in always going that extra step for our residents, clients, investors, and each other. Integrity We stay true to the highest ethical standards and principles, and are honest, trustworthy, humble, and respectful in all of our words and actions. Equality We celebrate individual differences, encourage diversity of thought, provide equality of opportunity, and cultivate an environment where all individuals are seen, treated, and valued equally. Professionalism We proudly present a positive, dignified, and businesslike image at all times through our appearances, behavior, and interactions with others. Accountability We take responsibility and accept ownership for our words, actions, tasks, and results, and respectfully hold others to the same standard. Service We make service our top priority by giving our time, knowledge, and experience to serve the needs of our customers, community, and team members. Teamwork We work together to accomplish goals, solve problems, and enrich our work environment. Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in nearly 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages over 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of nearly $78 billion of assets under management, including over $35 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business.
Senior Software Engineer Department: Engineering Employment Type: Full Time Location: London, UK Description We currently have an opportunity for an experienced Developer to join this fast developing area of our business. This role will be joining a small, dynamic team developing a cutting-edge in-play football modelling and trading platform. We are building systems that process real-time match and market data to execute automated trading strategies with millisecond latency - think high-frequency financial trading meets sports analytics. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Design, develop, and optimize BigQuery-based solutions for real-time, low-latency data processing Implement and maintain API integrations with multiple trading platforms Enhance and refactor existing model and trading strategy implementations for improved performance Design and implement BigQuery schemas for both real-time data processing pipelines and analytical reporting Monitor and optimize system performance to maintain millisecond-level latency targets Collaborate closely with quantitative analysts to translate trading strategies into production code Maintain and improve our GCP-based infrastructure and deployment pipelines Skills, Knowledge and Expertise BigQuery Expertise: Solid understanding of BigQuery architecture and optimization techniques. Postgres: Familiarity with Postgres and/or other traditional RDBMS. Programming Proficiency: Strong skills in Python and Java, with working knowledge of R Cloud & Infrastructure: Hands-on experience with Google Cloud Platform (GCP) and Docker containerization API Development: Experience building and integrating with RESTful APIs, particularly for real-time applications Low-Latency Systems: Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems Data Engineering: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads Version Control & CI/CD: Proficiency with Git and modern deployment practices Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
Sep 13, 2025
Full time
Senior Software Engineer Department: Engineering Employment Type: Full Time Location: London, UK Description We currently have an opportunity for an experienced Developer to join this fast developing area of our business. This role will be joining a small, dynamic team developing a cutting-edge in-play football modelling and trading platform. We are building systems that process real-time match and market data to execute automated trading strategies with millisecond latency - think high-frequency financial trading meets sports analytics. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Design, develop, and optimize BigQuery-based solutions for real-time, low-latency data processing Implement and maintain API integrations with multiple trading platforms Enhance and refactor existing model and trading strategy implementations for improved performance Design and implement BigQuery schemas for both real-time data processing pipelines and analytical reporting Monitor and optimize system performance to maintain millisecond-level latency targets Collaborate closely with quantitative analysts to translate trading strategies into production code Maintain and improve our GCP-based infrastructure and deployment pipelines Skills, Knowledge and Expertise BigQuery Expertise: Solid understanding of BigQuery architecture and optimization techniques. Postgres: Familiarity with Postgres and/or other traditional RDBMS. Programming Proficiency: Strong skills in Python and Java, with working knowledge of R Cloud & Infrastructure: Hands-on experience with Google Cloud Platform (GCP) and Docker containerization API Development: Experience building and integrating with RESTful APIs, particularly for real-time applications Low-Latency Systems: Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems Data Engineering: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads Version Control & CI/CD: Proficiency with Git and modern deployment practices Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
The purpose of this role is to provide insightful quantitative analysis for the Investment team. Key responsibilities: Deliver data analysis for Portfolio Managers using a variety of tools and programming skills Engage with internal stakeholders to understand their needs and deliver insights to help shape their actions Run ad-hoc quantitative research projects; create tools, techniques, and practices to maximize efficiency of the team Liaise with IT to develop and enhance technical tools Required Skills & Experience: Minimum 3 years quantitative experience within the banking sector (ideally investment management) Strong programming skills with Python, C++ or R Understanding of business intelligence tools Knowledge of Blackrock Aladdin would be preferable Relevant degree subject (Maths, Statistics, Data Science or another Science related subject), ideally at the Masters level Self-motivated with a can-do attitude Apply for this job
Sep 13, 2025
Full time
The purpose of this role is to provide insightful quantitative analysis for the Investment team. Key responsibilities: Deliver data analysis for Portfolio Managers using a variety of tools and programming skills Engage with internal stakeholders to understand their needs and deliver insights to help shape their actions Run ad-hoc quantitative research projects; create tools, techniques, and practices to maximize efficiency of the team Liaise with IT to develop and enhance technical tools Required Skills & Experience: Minimum 3 years quantitative experience within the banking sector (ideally investment management) Strong programming skills with Python, C++ or R Understanding of business intelligence tools Knowledge of Blackrock Aladdin would be preferable Relevant degree subject (Maths, Statistics, Data Science or another Science related subject), ideally at the Masters level Self-motivated with a can-do attitude Apply for this job
User Researcher - Consultant Akkodis are currently working in partnership with a leading service provider to recruit a number of User Researchers to join a leading digital team with a passion for user-centred design, critical thinking, problem solving and designing and building digital services and products. Please note this is a hybrid role (in either London, Manchester, Glasgow office) with travel to client sites required on occasion and you will need to be eligible or hold current security clearance. The Role As a User Researcher you will work closely with Product Managers, Designers, developers, and other User Researchers to plan and conduct high-impact research that helps develop a better understanding of our clients' users. The Responsibilities Contribute to creating better products and services that solve users' problems and meets their needs. Lead the research for your team, suggesting the best approaches and methodologies to use to capture the right user insights. Plan and run qualitative studies, including remote and in person interviews, observations, diary studies, concept testing and usability studies. Use quantitative methods such as surveys to identify actionable insights and collaborate with the analytics team to enhance qualitative insights. Consider the end-to-end user journey and external factors that may impact the user experience including business, policy, and technical constraints. Communicate research findings and involve your team in analysis and synthesis to develop empathy with the users and enable evidence-based design decisions. Help to embed user-centred design and user research best practices into teams and the wider business. The Requirements Hands-on experience of leading user research, using behavioural and attitudinal methods and knowing when to apply them appropriately. Experience across multiple phases of a product or service lifecycle, from discovery and exploration through to design and delivery. Experience working with Government Digital Service (GDS) service standards, using GDS design principles Strong storytelling, communication, stakeholder management, and facilitation skills. Experience working in multi-disciplinary, agile teams where you've led the user research and influenced the design of a product or service through the insights you've gathered. Familiarity with using prototypes to test hypotheses, assumptions and validate user journeys. Understanding of a range of tools and practices for in-person and remote research. If you are looking for an exciting new challenge to join a leading consultancy, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Sep 12, 2025
Full time
User Researcher - Consultant Akkodis are currently working in partnership with a leading service provider to recruit a number of User Researchers to join a leading digital team with a passion for user-centred design, critical thinking, problem solving and designing and building digital services and products. Please note this is a hybrid role (in either London, Manchester, Glasgow office) with travel to client sites required on occasion and you will need to be eligible or hold current security clearance. The Role As a User Researcher you will work closely with Product Managers, Designers, developers, and other User Researchers to plan and conduct high-impact research that helps develop a better understanding of our clients' users. The Responsibilities Contribute to creating better products and services that solve users' problems and meets their needs. Lead the research for your team, suggesting the best approaches and methodologies to use to capture the right user insights. Plan and run qualitative studies, including remote and in person interviews, observations, diary studies, concept testing and usability studies. Use quantitative methods such as surveys to identify actionable insights and collaborate with the analytics team to enhance qualitative insights. Consider the end-to-end user journey and external factors that may impact the user experience including business, policy, and technical constraints. Communicate research findings and involve your team in analysis and synthesis to develop empathy with the users and enable evidence-based design decisions. Help to embed user-centred design and user research best practices into teams and the wider business. The Requirements Hands-on experience of leading user research, using behavioural and attitudinal methods and knowing when to apply them appropriately. Experience across multiple phases of a product or service lifecycle, from discovery and exploration through to design and delivery. Experience working with Government Digital Service (GDS) service standards, using GDS design principles Strong storytelling, communication, stakeholder management, and facilitation skills. Experience working in multi-disciplinary, agile teams where you've led the user research and influenced the design of a product or service through the insights you've gathered. Familiarity with using prototypes to test hypotheses, assumptions and validate user journeys. Understanding of a range of tools and practices for in-person and remote research. If you are looking for an exciting new challenge to join a leading consultancy, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Security Engineer - Core Colo Engineering page is loaded Security Engineer - Core Colo Engineering Apply locations London, UK posted on Posted 30+ Days Ago job requisition id R3044 Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a role based in our new Soho Place office - opened in 2023 - in the heart of Central London and home to our Research Lab. The role Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world's best engineers. The Low Latency Engineering Group at G-Research is responsible for providing and evolving our low-latency platform. As a Security Engineer in Core Colo Engineering, you will be responsible for the security architecture and controls that underpin a globally distributed, low latency system. Our application platform consists of high-performance Linux servers, Kubernetes, and an ecosystem of services to manage application deployments written mostly in C#. We're on a multi-year mission to modernise our Colo platform, and this includes rethinking our security approach - simplifying our estate, improving visibility and resilience, and embedding security earlier in our software lifecycle. The ideal candidate will have worked in a small, resource-constrained team and effectively leveraged modern tooling to improve both security and developer experience. Key responsibilities of the role include: Designing, implementing, and improving security architecture across our application platform Collaborating with architecture, platform and application teams to identify risks and integrate security best practices Developing tools and controls that improve the security posture of our systems without adding friction Keeping a business value-oriented mindset, understanding how your work adds value to the business and making that central to your decision making Who are we looking for? The ideal candidate will have the following skills and experience: A strong foundation in software engineering, including extensive experience in a high-level programming language such as C#, Java, Go, Rust, or C++ A proven track record in designing and implementing secure distributed systems using modern cloud-native technologies, especially AWS and Kubernetes Deep understanding of security principles across application, network, and infrastructure security, including secure deployments, container hardening, least privilege, and secure defaults, to enforce rigorous controls Skilled in embedding security into CI/CD pipelines through Infrastructure-as-Code, such as Terraform and Ansible, ensuring consistent and automated security deployments across diverse systems Hands-on experience with Zero Trust architectures, including the integration of SPIFFE standards and certificate/token-based authentication using tools such as Teleport, SPIRE or Consul Demonstrated expertise in designing and deploying IAM/PAM solutions that leverage SSH CA, using tools like Teleport to implement secure, automated access controls Proven experience in deploying secure Kubernetes clusters, including worker node attestation, using TPM or secure boot, and container signing, while integrating with network controls, such as firewalls and ACLs Experience working with Security Operations Centres to deploy IDS/IPS and NDR systems, ensuring real-time monitoring and threat detection Ability to implement comprehensive security controls, from proactive threat modelling (using frameworks like STRIDE or MITRE ATT&CK) to low-overhead in-kernel monitoring, using tools like eBPF, to balance performance, risk, and business objectives Strong understanding of fundamental algorithms and data structures, which underpins efficient and secure software design Why should you apply? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business ) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section About Us At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Sep 12, 2025
Full time
Security Engineer - Core Colo Engineering page is loaded Security Engineer - Core Colo Engineering Apply locations London, UK posted on Posted 30+ Days Ago job requisition id R3044 Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a role based in our new Soho Place office - opened in 2023 - in the heart of Central London and home to our Research Lab. The role Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world's best engineers. The Low Latency Engineering Group at G-Research is responsible for providing and evolving our low-latency platform. As a Security Engineer in Core Colo Engineering, you will be responsible for the security architecture and controls that underpin a globally distributed, low latency system. Our application platform consists of high-performance Linux servers, Kubernetes, and an ecosystem of services to manage application deployments written mostly in C#. We're on a multi-year mission to modernise our Colo platform, and this includes rethinking our security approach - simplifying our estate, improving visibility and resilience, and embedding security earlier in our software lifecycle. The ideal candidate will have worked in a small, resource-constrained team and effectively leveraged modern tooling to improve both security and developer experience. Key responsibilities of the role include: Designing, implementing, and improving security architecture across our application platform Collaborating with architecture, platform and application teams to identify risks and integrate security best practices Developing tools and controls that improve the security posture of our systems without adding friction Keeping a business value-oriented mindset, understanding how your work adds value to the business and making that central to your decision making Who are we looking for? The ideal candidate will have the following skills and experience: A strong foundation in software engineering, including extensive experience in a high-level programming language such as C#, Java, Go, Rust, or C++ A proven track record in designing and implementing secure distributed systems using modern cloud-native technologies, especially AWS and Kubernetes Deep understanding of security principles across application, network, and infrastructure security, including secure deployments, container hardening, least privilege, and secure defaults, to enforce rigorous controls Skilled in embedding security into CI/CD pipelines through Infrastructure-as-Code, such as Terraform and Ansible, ensuring consistent and automated security deployments across diverse systems Hands-on experience with Zero Trust architectures, including the integration of SPIFFE standards and certificate/token-based authentication using tools such as Teleport, SPIRE or Consul Demonstrated expertise in designing and deploying IAM/PAM solutions that leverage SSH CA, using tools like Teleport to implement secure, automated access controls Proven experience in deploying secure Kubernetes clusters, including worker node attestation, using TPM or secure boot, and container signing, while integrating with network controls, such as firewalls and ACLs Experience working with Security Operations Centres to deploy IDS/IPS and NDR systems, ensuring real-time monitoring and threat detection Ability to implement comprehensive security controls, from proactive threat modelling (using frameworks like STRIDE or MITRE ATT&CK) to low-overhead in-kernel monitoring, using tools like eBPF, to balance performance, risk, and business objectives Strong understanding of fundamental algorithms and data structures, which underpins efficient and secure software design Why should you apply? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business ) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section About Us At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture
Sep 12, 2025
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture
Job Description JOB DESCRIPTION In Goldman Sachs, quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working closely with traders and sales, strategists provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions. We are a team of strategists working to transform the Equity business through quantitative trading and automation of key daily decisions. Our scope includes product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using factor models and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in an object-oriented or functional language such as C++, Java, or Python. Self-motivated with strong self-management skills, capable of managing multiple priorities and delivering under pressure. Excellent written and verbal communication skills. About Goldman Sachs At Goldman Sachs, we dedicate our people, capital, and ideas to help our clients, shareholders, and communities grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. We believe your unique qualities enhance your professional contributions. We are committed to fostering diversity and inclusion, providing opportunities for professional and personal growth through training, development, networks, benefits, wellness, and mindfulness programs. Learn more about our culture, benefits, and people at . We are also dedicated to providing reasonable accommodations for candidates with disabilities during our recruitment process. More information can be found at disability statement .
Sep 12, 2025
Full time
Job Description JOB DESCRIPTION In Goldman Sachs, quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working closely with traders and sales, strategists provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions. We are a team of strategists working to transform the Equity business through quantitative trading and automation of key daily decisions. Our scope includes product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using factor models and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in an object-oriented or functional language such as C++, Java, or Python. Self-motivated with strong self-management skills, capable of managing multiple priorities and delivering under pressure. Excellent written and verbal communication skills. About Goldman Sachs At Goldman Sachs, we dedicate our people, capital, and ideas to help our clients, shareholders, and communities grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. We believe your unique qualities enhance your professional contributions. We are committed to fostering diversity and inclusion, providing opportunities for professional and personal growth through training, development, networks, benefits, wellness, and mindfulness programs. Learn more about our culture, benefits, and people at . We are also dedicated to providing reasonable accommodations for candidates with disabilities during our recruitment process. More information can be found at disability statement .
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture
Sep 11, 2025
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture
About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose - Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department, based in Bangkok, oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note - The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. Work with developers and a variety of business owners to deliver daily results with the best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. # Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now
Sep 11, 2025
Full time
About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose - Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department, based in Bangkok, oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note - The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. Work with developers and a variety of business owners to deliver daily results with the best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. # Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now
We are seeking a talented Python developer to join our growing Quantitative Development team. In this role, you will play a key part in developing and maintaining cutting-edge quantitative tools and infrastructure used by our front-office traders and quants. Requirements Responsibilities: Design, develop, and implement quantitative applications using Python, leveraging libraries such as NumPy, Pandas, SciPy, and others. Partner with quants and traders to understand their needs and translate them into efficient and robust software solutions. Develop and maintain test frameworks to ensure the quality and accuracy of quantitative code. Collaborate with DevOps engineers to automate deployment pipelines and ensure smooth integration with existing infrastructure. Stay up-to-date with the latest advancements in quantitative finance and Python libraries. Qualifications Minimum of 3 years of experience in Python development, with a strong understanding of object-oriented programming principles. Proven experience working in a quantitative finance or front office environment (a plus). Solid knowledge of financial mathematics and statistics (a plus). Experience with version control systems (e.g., Git). Excellent communication and collaboration skills. Strong work ethic and a passion for delivering high-quality work. Additional benefits include a competitive salary and benefits package, opportunities to work on challenging and impactful projects, a collaborative and fast-paced work environment, and continuous learning and development opportunities. Note: We are a leading recruitment/IT services company partnering with a Global IT Services firm to connect top IT talent with leading financial institutions, including Fortune 500 banks and IT services firms. We leverage our industry expertise to identify the most sought-after positions for highly skilled candidates.
Sep 11, 2025
Full time
We are seeking a talented Python developer to join our growing Quantitative Development team. In this role, you will play a key part in developing and maintaining cutting-edge quantitative tools and infrastructure used by our front-office traders and quants. Requirements Responsibilities: Design, develop, and implement quantitative applications using Python, leveraging libraries such as NumPy, Pandas, SciPy, and others. Partner with quants and traders to understand their needs and translate them into efficient and robust software solutions. Develop and maintain test frameworks to ensure the quality and accuracy of quantitative code. Collaborate with DevOps engineers to automate deployment pipelines and ensure smooth integration with existing infrastructure. Stay up-to-date with the latest advancements in quantitative finance and Python libraries. Qualifications Minimum of 3 years of experience in Python development, with a strong understanding of object-oriented programming principles. Proven experience working in a quantitative finance or front office environment (a plus). Solid knowledge of financial mathematics and statistics (a plus). Experience with version control systems (e.g., Git). Excellent communication and collaboration skills. Strong work ethic and a passion for delivering high-quality work. Additional benefits include a competitive salary and benefits package, opportunities to work on challenging and impactful projects, a collaborative and fast-paced work environment, and continuous learning and development opportunities. Note: We are a leading recruitment/IT services company partnering with a Global IT Services firm to connect top IT talent with leading financial institutions, including Fortune 500 banks and IT services firms. We leverage our industry expertise to identify the most sought-after positions for highly skilled candidates.
Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces. Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platforms, Popular Pays and Content Lab, provide influencers with the ability to scale their content and monetize their work, while offering brands opportunities to expand their reach through tailored creator partnerships. The team & role Lightricks products bring together intuitive design, innovative technology, and creativity. We have more than 30M global users who use our tools and services to create, enhance and promote their content and creations. Our Product team focuses on understanding and meeting the needs of our existing and new users, growing our products to continue being the market leader, and reaching company goals for growth and expansion. The Product Data team at Lightricks is the engine behind our product experience. Through understanding user behavior, we can analyze their content creation journey and leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data. We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and transform it into data points and vice versa. What you will be doing Build and own our product metrics framework - from defining core PLG metrics to establishing success criteria across the user journey, laying the foundation for data-driven growth. Drive strategic product decisions by translating user behavior data into actionable insights, helping shape our product roadmap and growth initiatives in this exciting new space of AI video creation. Collaborate closely with product managers, engineers, and business stakeholders to uncover user needs and translate them into product opportunities. Establish the foundation for our experimentation program - from measurement frameworks to A/B testing capabilities. Design and implement quantitative and qualitative research to validate product opportunities and synthesize findings into actionable recommendations. Partner with data engineers and developers to build reliable data foundations - from defining tracking requirements and implementing instrumentation to maintaining data quality and establishing scalable analytics processes. Create compelling narratives through clear and impactful presentations that drive alignment across teams and influence product strategy through data-backed storytelling. Your skills and experience 5+ years of proven experience in product analytics, with a strong track record of driving decisions in product-led growth environments. Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, or similar) Experience working on a B2B product is a plus. Proven experience defining and implementing PLG metrics frameworks, from user acquisition through expansion. Excellent problem-solving skills, with the ability to analyze complex data and derive actionable insights in the ever-evolving AI landscape. Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams. Advanced SQL skills and experience with statistical analysis, particularly in dynamic environments with limited data Experience integrating qualitative insights with quantitative data to drive product strategy Experience with generative AI technologies - A plus Stock Options. Private Medical Insurance (Optical & Dental cover) including your loved ones. Life Assurance. £750p/a allowance for Wellbeing & Professional Development. Free on-site lunches, coffee, breakfast & snacks. Pension Contributions (7%). Holiday (25 days). Seasonal & Anniversary Vouchers. Cool office space in central London. Enhanced Parental Leave. Cycle-to-work Scheme. Season Ticket Loan. Frequent social activities - away-days, happy hours, team building, yoga, creative workshops. Apply for Senior Product Analyst- LTX Studio London The UK team is situated in the heart of London. The office is our next up-and-coming location and is expected to attract talent across all teams. Our plan is to continue growing our Marketing, Customer Experience, and R&D teams (including the team behind the incredible Photoleap app!) and take it from there. The Data team drives the decision making process at Lightricks. We use machine learning and statistics to gain insights about our users and develop predictive models. Our classification and recommendation systems allow us to provide better experiences for our users and carve Lightricks' path to success.
Sep 11, 2025
Full time
Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces. Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platforms, Popular Pays and Content Lab, provide influencers with the ability to scale their content and monetize their work, while offering brands opportunities to expand their reach through tailored creator partnerships. The team & role Lightricks products bring together intuitive design, innovative technology, and creativity. We have more than 30M global users who use our tools and services to create, enhance and promote their content and creations. Our Product team focuses on understanding and meeting the needs of our existing and new users, growing our products to continue being the market leader, and reaching company goals for growth and expansion. The Product Data team at Lightricks is the engine behind our product experience. Through understanding user behavior, we can analyze their content creation journey and leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data. We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and transform it into data points and vice versa. What you will be doing Build and own our product metrics framework - from defining core PLG metrics to establishing success criteria across the user journey, laying the foundation for data-driven growth. Drive strategic product decisions by translating user behavior data into actionable insights, helping shape our product roadmap and growth initiatives in this exciting new space of AI video creation. Collaborate closely with product managers, engineers, and business stakeholders to uncover user needs and translate them into product opportunities. Establish the foundation for our experimentation program - from measurement frameworks to A/B testing capabilities. Design and implement quantitative and qualitative research to validate product opportunities and synthesize findings into actionable recommendations. Partner with data engineers and developers to build reliable data foundations - from defining tracking requirements and implementing instrumentation to maintaining data quality and establishing scalable analytics processes. Create compelling narratives through clear and impactful presentations that drive alignment across teams and influence product strategy through data-backed storytelling. Your skills and experience 5+ years of proven experience in product analytics, with a strong track record of driving decisions in product-led growth environments. Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, or similar) Experience working on a B2B product is a plus. Proven experience defining and implementing PLG metrics frameworks, from user acquisition through expansion. Excellent problem-solving skills, with the ability to analyze complex data and derive actionable insights in the ever-evolving AI landscape. Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams. Advanced SQL skills and experience with statistical analysis, particularly in dynamic environments with limited data Experience integrating qualitative insights with quantitative data to drive product strategy Experience with generative AI technologies - A plus Stock Options. Private Medical Insurance (Optical & Dental cover) including your loved ones. Life Assurance. £750p/a allowance for Wellbeing & Professional Development. Free on-site lunches, coffee, breakfast & snacks. Pension Contributions (7%). Holiday (25 days). Seasonal & Anniversary Vouchers. Cool office space in central London. Enhanced Parental Leave. Cycle-to-work Scheme. Season Ticket Loan. Frequent social activities - away-days, happy hours, team building, yoga, creative workshops. Apply for Senior Product Analyst- LTX Studio London The UK team is situated in the heart of London. The office is our next up-and-coming location and is expected to attract talent across all teams. Our plan is to continue growing our Marketing, Customer Experience, and R&D teams (including the team behind the incredible Photoleap app!) and take it from there. The Data team drives the decision making process at Lightricks. We use machine learning and statistics to gain insights about our users and develop predictive models. Our classification and recommendation systems allow us to provide better experiences for our users and carve Lightricks' path to success.
