31 jobs found

A leading energy company in London seeks to hire a Quantitative Developer. The role involves creating innovative solutions in data analytics and collaborating with Traders, Structurers, and Analysts. A strong background in Python and cloud computing is required. Candidates must have a degree in computer science or a related field. The position offers a hybrid work model with various employee benefits.

Entity: Supply, Trading & Shipping Job Family Group: Supply & Trading Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner.The Quantitative Development team within the BP Supply & Trading, Trading Analytics organization comprises Quantitative Analytics, Quantitative Development, Data Strategists, Market Intelligence and Core Strategists. Linked by the common themes of data, numerical algorithms and technology, the team seeks to add value to the business by providing new models, tradable insights, distinctive data sets and agile technology solutions that empower the analyst community and advantage the commercial teams.The Quantitative Development team provides direct technology support to Traders, Structurers and Quantitative Analysts, worldwide. Located in each of BP's main trading locations, these individuals possess expert IT knowledge and strong technical skills, combining deep programming know-how with practical experience of trading analytics, for example efficient pricing of complex derivatives for intraday risk management. They also partner with the central IT organization for strategic deliveries, including modern data repositories, data ontologies, new analytical toolkits, visualization technologies and cloud compute. Key Accountabilities • Create efficient, resilient and innovative solutions using modern data analytics technologies that enable analysts, inform decision making and drive revenue generation. • Partner with end-users from Quantitative Analytics, Trading and Structuring to help them use our platform for their particular analyses • Make significant contributions to the shared platform for use by analysts globaly. • Work with the architecture and infrastructure teams in central IT to ensure that designs are aligned with the company technology strategy. Provide input to IT and play a key interfacing role between them and the analyst community. • Rigorously adhere to software development best practice for enterprise-grade applications. Essential Education Undergraduate degree in computer science, or a quantitative discipline with a heavy computer science requirement. Post- graduate study is desirable but not essential Essential experience and job requirements You will have deep practical experience and knowledge of: • Python programming, particularly in-depth knowledge of the python object model. Ability to write production ready, highly reliable, tuned (pythonic) numerical code. • Experience of using vendor cloud computing platforms, especially AWS and Azure • A strong background in modern SDLC techniques, ideally having used Azure Devops • Practical experience building web applications and web services. • Experience in programming in C++ and exposing C++ to python • Software development industry best practice, including unit, integration and regression testing. Build and deploy patterns • Use of different types of databases for storing versioned object schemas and storing/retrieving time series data • Source code control systems, preferably Git.At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.There are many aspects of our employees' lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits.Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Some travel may be required with this role, this is negotiable Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Analytical Thinking, Computational Thinking, Continuous Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning, Macroeconomics, Market analysis methods, Market Risk Management, Sentiment and Trends, Statistics, Trade execution and management, Trading Fundamentals, Trading knowledge Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please . If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. About bp: Supply, Trading & Shipping Our purpose is to bring together people, energy and markets to power and navigate a changing world.In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. We're always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world's leading energy trader.Join us and help us achieve these goals by:• developing and continuously evolving a globally diversified portfolio that accesses new markets, commodities and commercial opportunities • collaborating with our business groups to provide innovative commercial and marine solutions that add value to bp's assets and flows • delivering high-quality earnings and creating an organisation that is swift to identify and optimise market insights • navigating a new era of energy for our planet, by sea • acting with respect and integrity at all times, with the people we work with and the markets we operate in • maintaining a comprehensive, rigorous and holistic risk control framework that ensures we operate in a safe, compliant and efficient way at all times • empowering the deep expertise and leadership of our people

Senior Quantitative Developer page is loaded Senior Quantitative Developerlocations: Londontime type: Full timeposted on: Posted 5 Days Agojob requisition id: JRWhen you join EDF Trading, you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do.Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.Join us, make a difference, and help shape the future of energy.Job Description: Department Optimisation and Trading Analytical TeamThe Energy Market Analytics department houses the Optimisation and Trading Analytical Team, a dynamic group of 10 professionals based in both Paris and London.Our team's primary mission is to develop sophisticated market forecasting models and asset optimisation tools. These tools are instrumental in supporting EDF Trading's proprietary activities and optimising the EDF Group portfolio.The team efforts are directed towards both the short-term electricity markets as well as the longer-term horizon and other commodities. We work closely with the trading desks and other analyst teams in both locations, fostering a collaborative environment that drives our success. Position purpose The Senior Quantitative Developer will contribute to the analytics suite of EDFT for short-term power market analysis and price forecasting through work on our platform for analytics and underlying data and model infrastructure.We're looking for a strongly motivated individual with excellent technical skills and an interest in energy analytics and trading. Main responsibilities Improve the team's existing analytical platform by proposing and implementing solutions to enhance performance and applications stability (e.g., optimisation of memory usage, usage of cloud technologies, increase parallelisation, data modelling and migration), or creating dashboards and decision-making tools Collaborate with analysts to support the platform and participate in the design and deployment in production of new analytical features and models Work with traders to understand the project requirements and translate them into technical solutions to be implemented in the platform Work with the EDFT IT team to develop a scalable technology platform over the long term Experience and technical requirements 5+ years' experience in a similar role (software engineer or quantitative developer) with exposure to analytics.Essential skills Very strong object-oriented programming skills (demonstrated in Python or other) Experience with CI/CD pipelines, proficiency with Git SQL, NoSQL databases Knowledge of cloud computingBeneficial skills: Python, API frameworks (Flask, FastAPI), package managers (poetry, uv) Knowledge of more than one programming language Exposure to energy markets or trading environment Knowledge of front-end development (e.g., Streamlit/ Angular 10/ Node.js) Columnar databases Experience with cloud computing such as Azure suite Docker, Kubernetes Person specification Educated to degree level with a high computer science component Hands-on approach, flexible and positive attitude Attention to detail and strong focus on accuracy of information Prioritization and time management Interest in energy analytics and trading Good communication skills Hours of work: 8.30am - 5.30pm / 40 hours per week, Monday to FridayOccasional on-call support on weekends, estimated interval of two months.We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers click apply for full job details

Position Overview: We are looking for a Product Owner or a Business Analyst with product ownership growth ambitions with a strong background on Structured Products or exotic OTC strategies, data modelling, required documentation and very good knowledge of front office processes. The successful candidate will work closely with the Products Manager to manage Jira boards, draft and refine tickets, and support developers in understanding the detailed implementation of requirements. You will be instrumental in translating complex topics from industry forums and client discussions into executable tasks for the development team. Key Responsibilities: Review term sheets or pricing requests and understand the needs and how to capture the data to extend our platform automation Collaborate with the Product Manager to manage and prioritize Jira boards, ensuring that all tasks and tickets are clearly defined and actionable. Draft detailed user stories, tickets, and technical specifications for developers, focusing on the implementation of structured products, market data integration, and financial technology solutions. Assist in the investigation and research of complex financial concepts, ensuring thorough understanding and clarity for the development team. Participate in industry forums and working groups, capturing insights and translating outcomes into concrete, executable tasks. Act as a liaison between business stakeholders, product management, and the development team to ensure that requirements are understood, clarified, and aligned with business objectives. Anticipate client and market needs by staying informed on industry trends, and proactively identify potential future requirements. Assist in the testing and validation of delivered features, ensuring they meet business requirements and are aligned with industry best practices. Provide analytical support and present insights to stakeholders for decision-making. Key Skills & Qualifications: 1-3 years of experience on a desk of structured products issuance (buy-side or sell-side). Strong technical aptitude with experience working closely with developers on technical implementation. Ability to comprehend and translate complex financial concepts and discussions into actionable development tasks. Excellent verbal and written communication skills to convey complex topics to both technical and non-technical stakeholders. Strong organizational skills and the ability to manage multiple projects and priorities. Familiarity with Jira for task management, project tracking, and reporting. Excellent analytical and problem-solving skills with attention to detail. Knowledge of agile methodologies and experience working in agile teams. Bachelor's degree in Finance, Economics, Quantitative Finance, or related field. Advanced degree or certifications in finance or technology is a plus. Desirable Skills: Familiarity with financial market data vendors (e.g., Bloomberg, LSEG). Experience with financial modelling or quantitative analysis. Have developed / scripted in different languages Apply today and take the next step in your career with us! WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.

Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm. As a Quant Model Risk Vice President in the Model Risk Governance team, you will assessand helpmitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional area as well as will work closely withmodel developers and users. You will also have managerial responsibility to oversee, train and mentor junior members of the team. Job responsibilities Carryoutmodelreviews:analyzeconceptualsoundnessof complex pricingmodels,engines,andreservemethodologies;assessmodelbehaviorandsuitabilityof pricingmodels/enginestoparticularproducts/structures Provide guidance on model usage and act as first point of contact for the business on all new models and changes to existing models Developandimplementalternativemodelbenchmarksandcompare theoutcomeofvariousmodels;Designmodelperformancemetrics Liaisewithmodel developers,RiskandValuationControlGroupsandprovideguidanceonmodelrisk Evaluate model performance on a regular basis Manage and develop junior members of the team. Required qualifications, capabilities, and skills Significant experience in a FO or model risk quantitative role. Excellenceinprobabilitytheory,stochasticprocesses,statistics,partialdifferentialequations,andnumericalanalysis MSc, PhD orequivalent in a quantitative discipline Inquisitivenature,abilitytoaskrightquestionsandescalateissues Excellentcommunicationskills(writtenandverbal) Goodunderstandingof optionpricingtheory(i.e.quantitativemodelsforpricingandhedgingderivatives) Good coding skills, for example in C/C++or Python Preferred qualifications, capabilities, and skills Experiencewithinterest rates derivatives

Risk Analyst - Credit Risk Modelling Team Hybrid in London, United Kingdom The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we've provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need - often within minutes. The team The Credit Risk Modelling team builds and improves the models that drive iwoca's lending decisions. They combine data science, engineering, and risk expertise to balance automation with human judgement, and their work supports everything from underwriting and pricing to portfolio monitoring. The team's work is central to iwoca's growth and has a direct impact on both customer outcomes and business performance. The team includes eight data scientists, two developers, and three risk analysts, all working hybrid schedules in London. The team's work is quite collaborative and there's always four or five people in the office on a given day. The team plans objectives for each quarter and manages progress with weekly meetings. They also have standups every other day to share concerns and help each other. The role You'll analyse data and contribute to the development of our credit models for the enhanced underwriting segment. You'll work with analysts, data scientists, and senior stakeholders to shape iwoca's lending strategy. Learn: Build expertise in the credit domain. Develop your analytical skills through exposure to different experimental approaches and complex analysis. Develop commercial influence: Practice turning data into information, and information into insights, so that you and various stakeholders can deliver improvements with real impact for our customers. Work on interesting and impactful projects, for example: Monitoring and refining risk models to improve decision-making and portfolio outcomes Analysing portfolios and tests to investigate credit performance, identify drivers of change, and adapt lending strategies Improving our data, systems, and workflows to strengthen underwriting and monitoring Supporting new product launches and adapting policies to meet investor and regulatory needs The requirements Essential: A quantitative background, such as a degree in mathematics, statistics, economics, engineering, or a related field Ability to analyse data and generate insights to support decisions Ability to evaluate underwriting processes and improve credit models or policies Clear written and verbal communication, with the ability to tailor analysis and recommendations to different audiences A team player, with the ability to work confidently and enthusiastically with different people and teams Bonus: Experience in B2B or B2C credit risk, lending, and strategy Proficiency in SQL and Python Experience with data visualisation tools like Looker The salary We expect to pay from £40,000-£55,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices: We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits: Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack

Department Overview The Financial Markets (FM) landscape is rapidly going through a process of digitisation, at the core of which is eTrading. eTrading at ING covers all products traded in ING FM. These span from the very liquid and electronic products (cash equities, futures, commodities and FX), Fixed Income products (corporate and government bonds) which are in the process of becoming electronic due to balance sheet reduction and regulation, to the less liquid and less electronic derivative products. Data is core to eTrading and eTrading also covers the data and business intelligence strategy. Fixed income eTrading sits inside financial markets trading and comprises of a team of developers and quants. Main Duties and Responsibilities of Role The Quant Developer will be part of the Fixed Income eTrading team and will be responsible for bringing to production the new generation of algorithms and pricing logic at ING. Career Potential Strong exposure to trading teams in London but also other global FM trading locations; Exposure to other global ING eTrading teams; Scope for career progression within eTrading and trading functions. Lead INGs client execution team Candidate Profile Qualification/Education Degree in quantitative subject e.g. Maths, Physics, Computer Science or Engineering Experience/Knowledge Essential: 3 years' experience developing algorithms; Strong development skills (Java); Experience with Rates trading frameworks Experience in pricing and algorithmic trading of Interest Rate derivatives and Bonds Desirable: Experience with Python data science stack and KDB+/Q Understanding of Fixed Income pricing and risk, yield curve modelling Code integration with vendors such as ION/Broadway and D2C markets Low latency frameworks and protocols e.g., FIX, Aeron, LMAX, pub-sub, messaging buses etc Personal Competencies Essential: Hands-on mentality; Ability to deliver without supervision; Creative learning and thinking, passion for technology; Proactive behaviour and perpetual energy and drive to improve performance; Challenger of the status quo, always striving to do things more efficiently and effectively; Genuine team player. Desirable: Customer and product focus; Clear, concise and transparent communicator. ING's purpose is 'Empowering people to stay a step ahead in life and in business'. Every ING colleague is given the opportunity to contribute to that vision. We champion self-reliance and foster a collaborative and innovative culture. The Orange Code is our global manifesto for how we stay true to our purpose and our tradition of reinvention and empowerment. It is made up of ING Values (we are honest; we are prudent; we are responsible) and ING Behaviours: (you take it on and make it happen; you help others to be successful; you are always a step ahead). For us, success will only be achieved if we act with Integrity. Some companies see diversity as a box to be ticked. We see it as fundamental to our success and we encourage a proper work/life balance. At ING, you will be judged on your performance in line with the Orange Code. And that's a promise. ING Privacy Notice In order to operate ING's recruitment process, we will collect and store personal data you provide. Please request the privacy notice should you wish to understand how ING uses and protects this information.

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Apply link Copy link Bachelor's degree or equivalent practical experience. 8 years of experience in coding in one or more of the following languages (C++, Java, Go or Python). 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience in the financial services industry, particularly in quantitative finance, algorithmic trading, or risk management. Preferred qualifications: Master's, or PhD in Physics, Mathematics, Computer Science or a related quantitative field. 8 years of experience in data structures and algorithms. Experience with machine learning, natural language processing (NLP), or generative AI and large language models (LLMs). Experience building complex data processing pipelines with tools like Kafka, Apache Beam (Dataflow) or Spark. Experience working with time-series data and financial market data feeds. Understanding of Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub). About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be creating a transformative platform that functions as an intelligent co-pilot for investors, analysts, and portfolio managers, enabling them to move from complex questions to informed action in minutes. By combining Google's cutting-edge large-scale models, advanced AI research, and unique data insights, you will build a system that can reason over the intricate interplay of market data and world events. You will be at the forefront of applied AI, building a product that will empower financial institutions to innovate and establish Google Cloud as a strategic partner in their success. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Design, develop, and deploy core components of the financial AI platform, including the orchestration engine, proprietary analytical tools, and data processing pipelines. Build robust, high-performance microservices for complex financial workflows, such as historical backtesting, Monte Carlo simulations, and advanced risk calculations. Collaborate with researchers from teams like DeepMind to integrate and optimize Google's state-of-the-art forecasting models for financial use cases. Develop the intelligent orchestration layer that uses Gemini to interpret natural language queries and chain together the appropriate sequence of financial tools and data sources. Engineer scalable and auditable data pipelines for ingesting and transform various data sets (including real-time feeds and proprietary data), ensure the reproducibility and verifiable logic of all AI-generated insights. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. 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Overview APPLY VIA THIS LINK (DO NOT USE THE BLUE APPLY BUTTON) Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billion of client assets, where technology is an integral part of our business. We are seeking a highly skilled Quantitative Developer to join our team, contributing to the development and maintenance of key investment infrastructure and analytics. This role involves collaborating with quantitative researchers and traders to design and implement scalable solutions, addressing complex business needs related to loading financial data, risk management, and backtesting. You will be working within a dynamic, fast-paced environment, supporting cross-functional teams across multiple investment platforms. APPLY VIA THIS LINK (DO NOT USE THE BLUE APPLY BUTTON) Agency Name: LGBT Great Agency contact first name: LGBT Agency contact last name: Great Agency contact email: Candidate reference ID: This is your name Essential Skills & Experience 3-8 years of professional experience in software development, specializing in Python. Hands-on experience with continuous integration and delivery systems (e.g., Jenkins, GitLab CI/CD) and a strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, including system administration and containerization for deployment and scaling. Preferred Skills & Experience Deep understanding of futures asset classes and their application in systematic trading. Experience in developing financial backtesting systems for quantitative strategies. Matlab experience is a plus. Job Responsibilities Develop and maintain critical components of the investment infrastructure, including the data interface layer, central risk calculations, and backtesting frameworks utilized by diverse investment teams. Work closely with quantitative researchers and traders to engineer robust solutions for business challenges. Provide production-level support to key systems, ensuring their continued functionality and reliability. If this role sounds of interest, we would love to hear from you.

About the opportunity If you are interested in gaining international experience and project exposure, working on leading renewables (mainly hydro) projects across the United Kingdom and occasionally Europe, then this could be the pathway to making this happen for you. Let me introduce you to Hydroplan UK. With a legacy of over 800 assignments, Hydroplan's clientele includes private landowners, utilities, developers, government agencies, and financial institutions seeking expertise in renewable infrastructure. Select examples of typical client engagements include: Technical advisor roles for banks on hydropower project financing Design and project management of numerous community hydro schemes across the UK Due diligence studies for acquisitions and investments in hydro assets. Hydroplan's projects cover all aspects of hydropower development, from concept and permitting through to turnkey implementation and asset management, ensuring ongoing operational performance. As a senior/principal level engineer you will be open to relocating to southern England or Scotland. You may also be a highly experienced engineer interested in a pre-retirement European OE! What will you be doing As a senior or principal level engineer you will be working with a good deal of autonomy. The position's scope is broad but at a high level you will be focused on. Leading projects within a framework of water industry, dam engineering and hydropower mainly within the UK (but some internationally) Providing technical direction to project teams, including studies, design, performance monitoring for all types of dams and hydraulic structures. Build relationships within the industry and wider our clients' Waterpower and Dams community. Assisting others in business development, bid preparation and securing a sustainable pipeline of work. Providing guidance and mentoring to less experienced members within the team What technical expertise will you need to bring to this role The successful candidate will already have significant experience of dam engineering and may already have received some formal accreditation. In addition we are looking for A formal engineering qualification (Bachelor's Degree, Masters) Ideally, a Chartered Engineer with experience in the fields of dam and reservoir engineering. Strong technical experience in structural, hydraulic or geotechnical engineering applied to the management and design of dams and reservoirs and their associated hydraulic structures Knowledge of relevant codes, standards and guidance documents, and an appreciation of current developments. Track record of delivery of successful projects and the ability to support winning tenders. Strong quantitative, client focused writing, communication and analytical skills High proficiency in MS office applications, include Word, PowerPoint and Excel. A knowledge of AutoCAD would be useful Not afraid to employ innovation and leading-edge technologies to meet client needs. Willingness to travel and hold a valid (UK) driving licence Relocation and visa support is available. This position could be full or part time and also has the prospect of remote working from a European base. In the first instance contact Matt Love-Smith on for an introductory enquiry. Alternatively e-mail

Overview At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and two years ago we split out as a separate business. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features and efficient back-office processes that have helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role The Engine Platform is a highly configurable core banking platform, supporting clients globally. This role is focused on development and delivery of our core Platform technical strategy, such as integrations, connections, configurations, and internal tools to facilitate the platform's growth and allow our clients to integrate with their local providers into the platform. As a Technical Platform Owner at Engine, you will collaborate closely with teams across Technology and work with our engineering and product teams to ensure that our technology platform meets the needs of our clients and partner engineers who integrate with it. You will also ensure that the platform aligns with the company's broader technical strategy, long term goals and make integrating with Engine as seamless as possible. At Engine, we spend our time building products that we're really proud of. We focus on the experience, often delivering things with real polish but sometimes making a fast strategic move. We think being good at product requires clear communication, a sense of focus, and to challenge the conventional ways of doing things. We're open-minded when it comes to hiring, we care more about skills and attitude than specific experience or qualifications. Key Responsibilities Work with platform engineering teams to develop and communicate a cohesive product roadmap that delivers high-impact outcomes that improve developer productivity and experience for our clients engineers. Gather feedback and break down problems: Actively listen to teams for pain points and feedback, gather requirements, and break down complex problems into actionable projects across teams. Drive adoption and education: Promote the platform's capabilities by creating clear documentation (with the help of our technical writers), providing training and guidance to our internal teams. Define and Measure Success: Establish and track key technical and business metrics like API latency, developer satisfaction, integration time, and platform adoption rates to ensure our strategy is impactful. Ensure security and compliance: Collaborate with security and compliance teams to embed best practices and meet all regulatory requirements. Qualifications A deep, hands-on understanding of how modern, distributed systems are built at scale. You should be able to articulate the trade-offs of different architectural decisions and speak fluently about REST APIs, webhooks, event-driven architecture, and asynchronous communication patterns. Hands-on engineering experience or a technical background. Proven experience as a product or platform owner in a highly technical domain. Ideally, you've been a part of a team that has scaled a platform from a foundational stage to a widely adopted product. The ability to simplify and provide clarity on complex, architectural problems to a wide range of stakeholders, from junior engineers to executive leadership. Experience in making evidence-based product decisions using both qualitative and quantitative data, specifically within a technical product context. A proven ability to act as a voice for the user and influence teams and stakeholders without direct authority, particularly in engineering-led environments. You should be comfortable working directly with engineers, both internally and externally. You can "speak their language" and have a strong understanding of how they would integrate into a technical platform. Experience building B2B SaaS products from the ground up. Nice to have Experience integrating with a core banking platform. Experience in the FinTech or banking industry. Experience in taking a software from an internal tool to an external, revenue-generating product. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with someone from the tech team Stage 2 - 60 min with two team members Stage 3 - Final with either CTO/ Deputy CTO or Engineering Director Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

# Work With UsReal Estate Private Equity Senior Associate page is loaded Real Estate Private Equity Senior Associatelocations: Londontime type: Full timeposted on: Posted 5 Days Agojob requisition id: R008885The London Tishman Speyer Team is looking for a new Senior Associate. Company Profile Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer, operator, and investment manager of top-tier real estate in 33 markets across the globe, our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyer's diversified portfolio spans market rate and affordable residential communities, premier office properties and retail spaces, industrial facilities, and mixed-use campuses. We create state-of-the-art life science centers through our Breakthrough Properties joint venture, and foster innovation through our strategic proptech investments. By combining global perspective with local expertise, and a personalized approach, we are able to anticipate our customers' evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform, and the first traditional real estate company to create its own flexible space and coworking brand, Studio.Since our founding in 1978, Tishman Speyer has acquired, developed, and operated 522 properties, totaling 218 million square feet, with a combined value of over $129 billion (U.S.). Tishman Speyer currently has approximately $68 billion in assets under management, including iconic properties such as Rockefeller Center in New York City, The Springs in Shanghai, TaunusTurm in Frankfurt, and Mission Rock in San Francisco. Responsibilities of the Role covering the United Kingdom We are looking for a Senior Associate to join our Acquisitions and Asset Management team. The Senior Associate will be involved with quantitative financial modeling, asset performance analysis, interaction with key stakeholders and managing asset leasing and repositioning. The role will also collaborate in a dynamic team environment and interact with senior management and departments across the company.The successful candidate will play a pivotal role in the hands-on asset management and repositioning of key London properties, including immediate focus on Tishman Speyer's latest flagship office acquisition in London, responsible for driving value through the following workstreams: Strategic Planning & Investor Relations: + Develop and execute asset-specific business plans and value-add initiatives. + Produce recommendations for senior management and investors on key strategic decisions. + Track, analyze, and report on asset performance against budget, underwriting, and market benchmarks. + Serve as a key interface for investors, preparing and presenting regular updates and responding to enquiries. Leasing & Marketing: + Develop and implement comprehensive leasing strategies to maximize occupancy and rental income. + Actively manage and direct leasing agents to drive results and engage with prospective tenants. + Oversee the creation and execution of innovative marketing, branding, and placemaking initiatives, including the delivery of marketing suites and activation of public spaces. Transaction & Legal Oversight: + Lead the negotiation of legal agreements with prospective tenants from initial enquiry through to completion. + Review all legal and technical documentation, including leases, contracts, and technical reports. + Assist in the execution of transactions, including dispositions and refinancings. Project & Capital Works Oversight: + Manage and oversee capital expenditure projects, including major repositioning works (e.g., Cat A or amenity refurbishments). + Coordinate with construction, design, and architectural consultants to ensure projects meet quality standards, are on schedule, and within budget. Operational & Financial Management: + Proactively manage the assets through regular site inspections to ensure operational excellence. + Work with internal teams (Property Management, Finance, Accounting) to prepare and manage annual budgets and financial forecasts. + Ensure a best-in-class hospitality and tenant experience is delivered across the portfolio. + Interact with financial institutions (e.g. lenders)Future involvement will include supporting future acquisitions efforts and associated asset management workstreams. Required Skills / Experience The candidate will interact with colleagues throughout the organisation and therefore should be articulate, with the ability to communicate effectively across all functions and levels, including senior management and team members.Required for the role is: An excellent understanding of Real Estate investment markets and metrics. A minimum of 5 years of relevant work experience in real estate investment or asset management, with demonstrable experience in asset repositioning and value-add initiatives. Proven track record of driving leasing performance and overseeing marketing campaigns. Experience in managing capital projects and coordinating with technical/construction teams is highly desirable. Demonstrated academic success, with a bachelor's degree in areas such as finance, accounting or other analytical / quantitative fields. Strong quantitative, analytical, and problem-solving skills. Excellent proficiency with Excel, PowerPoint, and Word. Demonstrable ability to think strategically and to present information in a clear and concise manner.Well-organised with exceptional attention to detail and sound judgment in managing multiple tasks is essential.Welcome to the original home of New York glamour and entertainment: The Rainbow RoomWe firmly believe that our team members are the key to our success at the Rainbow Room. Our goal is to deliver the best guest experience and create special memories for all our customers. For our staff, we strive to provide an environment that offers challenging, stimulating and rewarding opportunities.Join our team and discover a work experience where new ideas are met with enthusiasm and where you can grow to your full potential. We are seeking individuals committed to delivering the best service in the hospitality industry, and who enjoy working as a team to create magical moments in one of the most iconic locations in the world.

Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.