212 jobs found

Equity Index Solutions Specialist, Financial Solutions Location London Business Area Sales and Client Service Description & Requirements Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Within the Bloomberg Financial Solutions vertical, Bloomberg Index Solutions Limited (BISL) offers a diverse range of fixed income, commodity, currency and equity indices. With extensive asset coverage, a strong history of innovation, and objective and transparent rules, Bloomberg indices are widely used as a source for portfolio construction and performance comparison. We offer an array of services to clients interested in custom index development, investable index products designed to offer access to systematic strategies, index administration and calculation agent services. Bloomberg indices are driven by the same trusted reference data, pricing and analytical calculations that are used throughout the investment process. What's the role? We're looking for a client-facing Equity Index Solutions Specialist to help drive the growth and adoption of Bloomberg's equity index offerings. This is a highly technical and commercially focused role, ideal for professionals with deep experience in equities-particularly in the asset management or index provider space. You'll act as a key partner to our index sales and relationship teams, using your expertise to translate complex index methodologies into actionable insights for institutional clients. Your contributions will span everything from backtesting and strategic advisory to market development and client engagement. You'll be at the forefront of Bloomberg's expanding equity index business, playing a pivotal role in shaping our product strategy and delivering meaningful solutions to leading financial institutions. This is an opportunity to blend technical depth, commercial savvy, and industry influence in a role with real impact. We'll trust you to: Lead client engagement by delivering impactful presentations, running custombacktests, and articulating index methodologies clearly to investment professionals. Drive commercial outcomes byidentifyingopportunities to grow market share across traditional, ESG, factor-based, andcustomequity indices. Support strategic product development by feeding client insights back to product, research, and engineering teams. Strengthen market visibility of Bloomberg's equity index capabilities through external meetings, thought leadership, and go-to-market initiatives. Build lasting partnerships with keyclientsatasset managers, pension funds, and other institutional investors. Contribute to strategic planning, including market sizing, competitive analysis, and post-launch product growth. You'll need to have: 7+ years of experience inthe equityspace;this could beequity research, portfolio management, index strategy, or institutional sales A strong grasp of equity index construction, methodologies, and their role in portfolio design A proventrack recordin business development, client advisory,orrevenue generation Excellent presentation and interpersonal skills with the ability to simplify technical concepts Commercial drive with the ability to manage pipelines and meet ambitious growth targets CFA or equivalent is anadvantage High-levelproficiencyin data analysis; experience withbacktestingor index analytics tools is a plus Willingness to travel and engage with clients across regions Fluency in English;additionallanguages are a bonus If this sounds like you: Apply if you think we're a good match! We'll get in touch with you to let you know the next steps but in the meantime feel free to browse this: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Further your career at Ball, a world leader in manufacturing sustainable aluminum packaging. Achieve extraordinary things when you join our team, and make a difference in your professional development, the community, and around the globe! Ball is thrilled to receive Newsweek's 2023 Top 100 Global Most Loved Workplace award! As a sustainable product leader, we have over 16,000 global team members. From endlessly recyclable aluminum cans, and cups, to aerosol bottles, our goal is to contribute to a better community, society, and world. Position Overview As the Business Systems Lead - Procurement, you are a key member of the Global Business Services team, reporting to the Director, IT Business Partner & Technology Delivery. You will contribute to the success of Ball by leading and coordinating technology delivery and system delivery and system enhancements across projects using Agile or Stage Gate governance. Key Responsibilities Include Support software development, system configuration, integrations, upgrades, and patching to meet business and technical requirements Technology capability and business capability subject matter expertise, tied to ownership of systems' functional and technical designs and capabilities Gather and document technical requirements and specifications, translating business needs into system solutions Coordinate Systems Integration Test (SIT) execution and User-Accepted Test (UAT) technology support, including environments, defect resolution, and change implementation Provide end-user and super-user support and training, driving adoption and effective system usage Support issue resolution and production support, including root-cause analysis and continuous improvement Assist with software and hardware selection, purchasing, and vendor management, including AMS support Contribute to technology cost estimates and resource planning in support of business case development Support data governance, data migration, integrations, and data hubs enabling self-service reporting and analytics Ensure adherence to technology standards, software standards, architecture, and governance Support IT controls, SOX testing, audits, and access management activities Contribute to technology roadmaps, portfolio management, and lifecycle planning Perform gap analysis, solution design, and cross-functional impact assessments Drive value realization and adoption of standard technologies and platforms through change management and alignment What we are looking for? Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or a related field Progressive experience in business systems, IT delivery, or technology-enabled business roles System implementations, enhancements, or integrations Demonstrated experience supporting: Enterprise and edge applications (Procurement and/or supply chain modules/applications preferred) Testing activities (SIT and UAT support) Production support and issue resolution Experience working with vendors, AMS providers, or system integrators Experience in regulated or controlled environments (SOX, IT controls, audits) preferred Enterprise technology portfolio organization and effective delivery management across a global landscape Please note the advertised job title might vary from the job title on the contract due to local job title structure and global HR systems. When you join Ball you belong to a team of over 16,000 members worldwide. Our products range from infinitely recyclable aluminum cans, cups to aerosol bottles that enable our customers to contribute to a better world. Each of us has a deep commitment to diversity and inclusion which is the foundation of our culture of belonging. Everyone at Ball is making a difference by doing what we love. Because what we create may change, but what we will always make is a difference.

About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in house marketing capabilities, creating highly engaging, performance led content that proves what our products can do and resonates with a passionate, fast growing community around the brand. From throwing phones off dams to launching category defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially minded Data Analyst to join our fast growing team in the UK. This is a high impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision making across the company. You'll work closely with cross functional teams (Growth, Product, Marketing, and Leadership), championing the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data driven decision making. You are detail oriented, able to see the bigger picture, and adept at transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data driven culture, empowering the organisation through informed decision making and self sufficient data management. Key Responsibilities Conduct comprehensive data analysis to support business decision making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor KPIs, OKRs, and enable cross departmental data access. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross department initiatives to drive value (e.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling). Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders, acting as a point of call for data related questions. How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of Mous's data infrastructure. Building high quality, durable dashboards and data models that improve access to cross departmental data. Proactively identifying and resolving opportunities and inefficiencies. Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices. Skills requirements Hard skills 0 2 years of experience in a data related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred). Soft skills Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, able to translate insights clearly for technical, non technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high energy culture. Benefits include Significant opportunity for growth, ownership, and career progression. Competitive salary reflective of experience and impact. 30% Friends & Family discount on all Mous products. 25 days' holiday + 8 bank holidays. 1 month paid leave after 5 years' service. Cycle to Work Scheme. Charlie HR perks and discounts. Regular socials, events, and on site activities (including an on site gym). Our Values Get Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.

About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in-house marketing capabilities, creating highly engaging, performance-led content that proves what our products can do and resonates with a passionate, fast-growing community around the brand. From throwing phones off dams to launching category-defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially-minded Data Analyst to join our fast-growing team here in the UK. This is a high-impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision-making across the company. You'll work closely with cross-functional teams (Growth, Product, Marketing, and Leadership), to champion the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast-paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data-driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data-driven decision making. You are not only detail-oriented but also capable of seeing the bigger picture, transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data-driven culture, empowering the organisation through informed decision-making and self-sufficient data management. Key Responsibilities: Conduct comprehensive data analysis to support business decision-making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor key performance indicators (KPIs) and objectives and key results (OKRs), enabling access to cross-departmental data. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross-department initiatives to drive value. E.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling. Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders while acting as a point of call for data-related questions. ️How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of our data infrastructure at Mous Building high-quality, durable dashboards and data models that improve access to cross-departmental data Proactively identifying and resolving opportunities and inefficiencies Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices Skills requirements: Hard skills: 0-2 years of experience in a data-related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred) Soft skills: Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, with the ability to translate insights clearly for technical, non-technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have: Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high-energy culture. Benefits include: Significant opportunity for growth, ownership, and career progression Competitive salary reflective of experience and impact 30% Friends & Family discount on all Mous products 25 days' holiday + 8 bank holidays 1 month paid leave after 5 years' service Cycle to Work Scheme Charlie HR perks and discounts Regular socials, events, and on-site activities (including an on-site gym) Our Values G et Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.

Senior Software Engineer - Research Management Systems (Analytics & Reporting) Location London Business Area Engineering and CTO Ref # Description & Requirements Research Management Systems (RMS) provides structure, control, efficiency and transparency to the investment research process of institutional investors. Every client has their own approach to identifying investible opportunities, it forms a key part of their strategy for beating the market. RMS seeks to provide custom solutions that align to the unique needs of every client, in a scalable way. We are a recently formed engineering group and a rapidly growing part of the business. RMS has multiple teams, in multiple locations, each with a clear mission. The mission of the Analytics & Reporting team is to give research leaders visibility into the internal operations of their team to empower evidence driven decisions about the process, the tools and the team. This transparency is important in becoming more effective, in sustaining their effectiveness and in demonstrating their effectiveness to prospective partners. About the Role We're seeking a Senior Full Stack Software Engineer with experience in scalable, distributed system design and ideally, some familiarity with our core languages (Python, C++ & JavaScript). Experience of business intelligence or operational analytics would be helpful as our mission requires us to build a new analytics platform providing this. You will influence key technical decisions for us and thereby build a system that will influence key decisions and processes for our clients. We'll trust you to: Design and build core components of our analytics platform as part of a team. Lead projects and technical decision making. Ensure the team adopts best engineering practices across the entire SDLC. Collaborate with a broad set of stakeholders including your immediate team, the broader RMS group, other parts of the engineering community, sales, implementations, support, product managers and user experience experts. Support and mentor less experienced colleagues as appropriate. Embrace an inclusive approach to communication and collaboration. You'll need to have: Proven experience in software engineering, with a strong background in designing and building distributed systems or data platforms. Proficiency in an object oriented language with a demonstrable ability to write production quality code. Experience with OLTP and OLAP technologies and a demonstrable familiarity with query languages. Excellent communication skills and ability to collaborate across interdisciplinary teams in a variety of locations. We'd love to see: Proficiency in Python, C++ and JavaScript Experience with, or an interest in, data visualisation and communicating insights as clearly and impactfully as possible. Familiarity with industry standard and open source analytics tools such as PowerBI, Tableau, Trino. Experience with semantic data modelling. Familiarity with container technologies (Docker, Kubernetes). Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Job Summary: The Trading and Risk Management System (TRMS) team is responsible for developing, supporting and maintaining our front and back office trading web applications using Python, the proprietary Beacon Dependency Graph and Glint, the Beacon UI framework.The successful candidate will contribute to the growth of the platform, exercising an eye for detail across all aspects of the development lifecycle while maintaining organisation and good code hygiene. This engineer should be able to effectively communicate both with internal teams and with clients.The successful candidate will help the TRMS platform continue to grow, exercising an eye for detail across all aspects of the development lifecycle while maintaining organisation and good code hygiene. This Senior Software Engineer should be able to effectively communicate both with internal teams and with clients. The successful candidate values teamwork and collaboration, as well as continuous learning and application of new technologies and trends. With progression in this track, the responsibilities expand to include leading teams, designing complex software systems, providing mentorship, and managing cross-functional integration. Responsibilities: Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested. Effectively break down and solve complex problems that require research or collaboration. Communicate effectively, regardless of medium, audience, or timing. Work with internal and external clients to gather and analyze requirements and product enhancements Participate in code reviews and provide technical feedback to the team Strong command of multiple levels of automated testing (e.g., unit, integration, contract, end-to-end, etc.). Initiate design and feature discussions, advocating for improvements in software performance, scalability, reliability, and security. Coordinate with other teams to ensure the successful integration of software applications. Troubleshoot and resolve production incidents quickly and effectively. Understand, respond to, and address customer needs and issues with empathy and timeliness. Required Skills: Strong experience in Python Proficiency in Javascript and React would be highly beneficial Good knowledge of software methodologies, tools, and typical architectural patterns. Experience with trading and risk management solutions is preferred, but not essential. Experience designing and building customer facing applications/components Self-starter who is enthusiastic for software work in a software-as-a-service company. Driven by client satisfaction. Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Salary Range $156,400.00 - $210,841.00 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.

A leading social commerce agency in Greater London seeks a Data Analyst / Prompt Engineer to enhance data integrity and optimize client performance through AI and data analytics. The role involves building data pipelines and automating analysis processes while providing insights to account managers. Ideal candidates should have a strong grasp of social media platforms, proficiency in SQL and Python, and a passion for AI in marketing. This position offers significant growth opportunities within the agency.

Location: London, Remote Category: Contract Jobs Salary: 325-350pd + Remote Working Ref: JT/JC/6015 Contact Name: James Clarke Telephone: Duration:5 weeks Working pattern:3 days per week Location:Fully Remote (UK-based only) Day rate:£325-£350 per day (Inside IR35) Start date:13th April 2026 Project Overview We're looking for an experienced Analytics Engineer / Power BI Developerto join on a short-term project:Planning & Allocation Dashboard. You'll be responsible for creating Power BI dataflows to integrate and transform Excel data sources, building a robust semantic model, and developing intuitive reports to deliver meaningful insights to end users. Key Responsibilities Create and manage Power BI dataflows to process Excel-based data. Develop semantic models aligned with business logic. Build accessible and insightful reports in Power BI for decision-makers. Strong expertise in Power BI Dataflows, Dimensional Modelling, DAX, andPower BI Report Creation. Proven experience building end-to-end Power BI solutions. Ability to clearly communicate data insights and demonstrate examples of previous work. Interview Process Interviews will include a call with a Principal Consultant and either the Head of Data & AI or an Associate Director for Digital. Candidates should be ready to demo a model and reportto showcase their Power BI skills.

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. For more information visit Job Reference: VN2522 Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Market Making division within Marex encompasses asset classes where Marex acts as a principal risk taker to provide pricing and liquidity to our clients, including but not limited to Base Metals, Precious Metals, Agricultural Products, Energy, US Power, and Environmental contracts. The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. Role Summary Market Making at Marex is a critical and growing business, operating across multiple asset classes and geographies. The Market Making businesses have a high degree of complexity, operating with multiple workflows and booking systems, across different Marex entities and in different regions. The business uses several different technologies, some built in house, others vendor driven. In this role as a Market Making Senior Software Developer, you will work closely with both business stakeholders and engineering teams to identify, design, and deliver products that strengthen our market making capabilities and improve operational efficiency across the business. Your role is critical to the future success of the Market Making business as we seek to drive technology led growth. Responsibilities Design, develop and maintain high quality for internal and external facing applications. Build scalable, resilient and high performance services that support multiple business streams across Marex. Collaborate closely with product owners, architects and other engineering teams to translate business requirements into robust technical solutions. Contribute to architectural design discussions and help shape platform standards, patterns and best practices. Ensure solutions are secure, observable and aligned with enterprise governance and regulatory requirements. Support the continuous improvement of CI/CD pipelines, automated testing and DevOps practices. Participate actively in team discussions, technical brainstorming sessions and knowledge sharing. Adapt quickly to changing priorities and evolving business demands in a fast paced environment. Provide support and troubleshooting for production systems where required, ensuring high availability and reliability. Contribute to documentation and maintain clear technical artefacts to support long term platform sustainability. Promote a collaborative, inclusive and high performing team culture. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience A collaborative team player, approachable, self efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Essential Skills and Experience Experience in at least one of JavaScript, Typescript, React, NodeJS, GraphQL, Docker. Experience of NoSQL or RDMS databases. Knowledge of modern CI/CD and DevOps practices. Experience working with AWS cloud services (e.g. ECS/EKS, Lambda, S3, RDS, API Gateway). Knowledge of BDD/TDD. Experience working in Agile / Scrum delivery environments. Methodical approach to software architecture and design and experience employing the right design choices for a given project. Strong verbal and written communication skills. Desirable Experience in C# .NET. Extended knowledge across multiple asset classes. Trade Lifecycle knowledge. Pre trade, Trade, settlement/clearing, Risk. Full front to back. Experience with trading or pricing platforms. Microsoft Technologies, Cloud services, hosting and deployment. Experience implementing observability tooling (logging, monitoring, tracing). Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Conduct Rules You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Acting as a role model for the values of the Company: Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity- Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative- We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People- Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble- Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

Software Developer - Enterprise Technology Node JS / Typescript London, GB Full-Time Information Technology About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantages, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Enterprise Technology team sits at the centre of Marex's technology landscape, delivering a cross business platform that enables our trading and business streams to innovate and go to market at pace. We provide shared capabilities including API gateways, centralised APIs, real time data streaming, connectivity solutions and emerging AI driven services. By building scalable, resilient and reusable platform components, the team reduces duplication, accelerates product delivery and ensures consistent standards across the organisation. Engine Room is a core part of this strategy, forming the foundation upon which next generation digital services are built. Marex recognises the need to provide digital services to give clients the best possible experience. As such, the technology team at Marex is playing an increasingly important role in the evolution of the firm and enabling business growth and new products and services. Role Summary Join the Enterprise team working on Engine Room, one of Marex's most strategic technology initiatives. As a Full Stack Developer, you'll help build and evolve a modern, enterprise grade platform at the core of the business. We're growing quickly and need energetic, flexible thinkers who can respond to changing demands, work collaboratively, and bring ideas to the table. If you enjoy solving complex problems in a fast moving environment and want to help shape technology that truly matters, this is the role for you. Responsibilities Role specific Design, develop and maintain high-quality NodeJS/Typescript solutions within the Engine Room platform. Contribute to the development of shared enterprise capabilities including API gateways,centralised APIs, real time data streaming, connectivity frameworks and AI enabled services. Build scalable, resilient and high-performance services that support multiple business streams across Marex. Collaborate closely with product owners, architects and other engineering teams to translate business requirements into robust technical solutions. Contribute to architectural design discussions and help shape platform standards, patterns and best practices. Ensure solutions are secure, observable and aligned with enterprise governance and regulatory requirements. Support the continuous improvement of CI/CD pipelines, automated testing and DevOps practices. Participate actively in team discussions, technical brainstorming sessions and knowledge sharing. Adapt quickly to changing priorities and evolving business demands in a fast paced environment. Provide support and troubleshooting for production systems where required, ensuring high availability and reliability. Contribute to documentation and maintain clear technical artefacts to support long term platform sustainability. Promote a collaborative, inclusive and high performing team culture. All staff Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills, Experience & Qualifications A collaborative team player, approachable, self efficient and influences a positive work Environment. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high-volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience: Essential Experience building RESTful APIs and microservices in enterprise environments. Good working knowledge of React and modern front end development principles. Experience working with AWS cloud services (e.g. ECS/EKS, Lambda, S3, RDS, API Gateway) Experience with event driven architectures, ideally using Kafka. Understanding of CI/CD pipelines, automated testing and DevOps practices. Experience with Infrastructure as Code, ideally Terraform. Strong understanding of software design principles (SOLID, clean architecture, domain driven design concepts). Experience working in Agile/Scrum delivery environments. Working knowledge of Python or C#. Experience building or contributing to enterprise platform or shared services environments. Exposure to API gateway technologies and distributed systems design. Experience implementing observability tooling (logging, monitoring, tracing). Financial services or capital markets experience (advantageous but not essential). Experience using CDM as a data model (advantageous but not essential). Conduct Rules You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.Wood Mackenzie Intelligence Connected Wood Mackenzie Values Position Overview We are seeking an experienced Cyber Security Lead Analyst to join our cyber security team. The ideal candidate will have a minimum of 5 years cyber security experience and 3+ years in cloud security and/or application security. The candidate will be able to demonstrate a proven track record of protecting enterprise environments against evolving cyber threats. This role requires a technically proficient lead analyst who can lead security initiatives and ensure our cloud and application infrastructure maintains the highest security standards, whilst maintaining business partnerships across the group. Key Responsibilities Monitor and analyze security events across cloud and on-premises environments using SIEM and security analytics tools Conduct thorough investigations of security incidents and provide detailed incident reports Develop and maintain incident response playbooks and procedures Experience with threat intelligence platforms and threat hunting Experience with security orchestration, automation and response (SOAR) platforms Understanding of data protection and encryption technologies Experience in regulated industries (financial services, healthcare, energy) Background in offensive security or penetration testing Design, implement, and maintain security controls across cloud platforms (AWS, Azure, GCP) Conduct cloud security assessments and architecture reviews Ensure compliance with cloud security best practices and frameworks (CIS Benchmarks, CSA CCM, NIST) Manage cloud-native security tools including CSPM, CWPP, and cloud WAF solutions Implement and maintain identity and access management (IAM) policies and controls Lead cyber security programs and coordinate remediation efforts Collaborate with DevOps teams to integrate security into CI/CD pipelines (DevSecOps) Stay current with emerging threats, vulnerabilities, and security technologies Contribute to security awareness training and documentation Facilitate Supplier Management and security input into bids Support compliance initiatives (SOC 2, ISO 27001, PCI-DSS, GDPR, etc.) Develop and enforce security policies, standards, and procedures Conduct security audits and risk assessments Maintain security documentation and metrics reporting Required Qualifications 5+ years of experience in cybersecurity roles 3+ years of hands-on experience with cloud security (AWS, Azure, or GCP) Proven experience leading security incidents and coordinating response efforts Experience with security frameworks such as NIST CSF, MITRE ATT&CK, or Zero Trust architecture Technical Skills Strong expertise in cloud security services and tools (AWS & Azure) Experience working with SIEM platforms (Splunk, Sentinel) Understanding of network security, firewalls, IDS/IPS, and VPN technologies Familiarity with security testing tools (vulnerability scanners, SAST/DAST, penetration testing tools) Experience with endpoint detection and response (EDR) solutions Certifications (one or more preferred) CISSP (Certified Information Systems Security Professional) CCSP (Certified Cloud Security Professional) AWS Certified Security - Specialty Microsoft Certified: Azure Security Engineer Associate Soft Skills Strong analytical and problem-solving abilities Excellent written and verbal communication skills Ability to explain complex security concepts to technical and non-technical audiences Leadership capabilities and experience mentoring team members Strong attention to detail and ability to work under pressure Collaborative mindset with cross-functional teams Business Partnering experience Education Bachelor's degree in Computer Science, Information Security, or related field (or equivalent experience) Working Conditions Some flexibility for remote work - 2 days minimum in office (Edinburgh preferred) Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process. Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication Education Bachelor's degree/University degree or equivalent experience Master's degree preferred What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) Discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Provn are proud to be partnered with a leading systematic hedge fund as they look to hire a Software Engineer to join their Risk Technology team in London. Our client is a highly advanced, data-driven investment firm that places technology at the core of its trading and risk management capabilities. They are continuing to invest in a centralised analytics platform that supports risk, performance, and execution insights across the full trading lifecycle. This platform processes large volumes of trading and market data to deliver timely, accurate analytics to front office users. The team works closely with portfolio managers, traders, and quantitative teams to build systems that directly inform investment decisions. This is a high-impact role suited to engineers who enjoy working on complex, data-intensive systems, combining strong software engineering with analytical problem-solving in a front office-aligned environment. Key Responsibilities: Design and build core components of a risk and analytics platform used by front office teams for decision-making Build scalable data pipelines supporting both real-time and scheduled analytics workloads (event-driven and batch processing) Develop and optimise services in Java and Python for high-performance data processing and analytics Work with large-scale datasets across relational and analytical data platforms Design systems capable of ingesting and processing trading, market, and reference data in near real-time Partner closely with front office and risk stakeholders to translate analytical requirements into robust technical solutions Contribute to the evolution of system architecture, including distributed systems, messaging patterns, and microservices-based designs Support the migration of legacy systems into modern, cloud-based and containerised environments Take ownership of key services, including monitoring, performance optimisation, and reliability improvements Implement data quality, validation, and reconciliation controls across analytics workflows Contribute to APIs, internal tools, and data interfaces used for analytics consumption Role Requirements: Strong experience with Java (ideally within real-time or high-performance systems) Strong Python experience for data processing and analytics workflows Experience building distributed or data-intensive systems Event-driven architectures and messaging patterns Data modelling, ingestion, and large-scale data processing Real-time and batch processing systems Strong SQL and database experience working with large datasets Experience working in Linux/Unix environments Demonstrated ability to improve systems beyond standard development tasks (e.g. optimisation, redesign, platform improvements) Preferred Experience: Experience within cloud-based infrastructure and containerised environments Exposure to streaming or messaging technologies Experience within trading, risk, or analytics-focused environments Background in asset management, hedge funds, or investment banking Strong analytical or mathematical mindset Why Apply: Opportunity to build business-critical analytics systems within a leading systematic hedge fund High visibility role with direct impact on trading and investment decisions Exposure to modern engineering practices, including real-time data processing and scalable architectures Strong balance of engineering depth, ownership, and front office engagement Collaborative, high-calibre environment focused on performance and innovation Benefits: Incredibly competitive package Private medical insurance Enhanced parental leave

A leading systematic hedge fund in Greater London is seeking a Software Engineer to join its Risk Technology team. This role focuses on developing data-intensive systems and analytics platforms that inform critical trading decisions. Candidates should have strong experience in Java and Python, along with a solid background in data processing, real-time systems, and a collaborative environment. The position offers an opportunity to impact business-critical analytics with a competitive package and great benefits.

Data Scientist - Market Research / Brand Health Tracking London, England, United Kingdom (Hybrid) Job Description Make Your Mark at Ipsos Join our NextGen BHT (Brand Health Tracking) team and be part of the transformative journey in revolutionising brand monitoring and brand marketing decision-making through advanced data science techniques. With your technical expertise, problem-solving skills, and excellent proficiency in Python, using Jupyter Notebooks and / or Google Colab, you will make a valuable contribution to our clients' brand success. What is in it for you? This is a fantastic opportunity for a Data Scientist seeking to work on an exciting new product and wanting to widen their exposure to new technology and products in Market research. We offer a collaborative and innovative work environment where your contributions will be valued, and you will have opportunities for professional growth and development. Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development. The Role: We are looking for a talented and motivated Data Scientist to join our NextGen BHT data science team in the global BHT service line at Ipsos. As a key member of the team, you will work alongside our team of Data Scientists and data engineers, with guidance from our head of modelling and product manager, playing a crucial role in developing predictive modelling, synthetic data and other advanced analytics tools using Python and R (primary in Jupyter Notebooks and colab) to support business decision-making and brand monitoring. Collaborating with the Lead Data Scientists and cross-functional teams to develop and implement predictive modelling and advanced brand analytics tools using Python and R. Contributing to the development of new product features, working closely with the Head of Modelling, Lead Data Scientists and the broader team. Participating in agile development processes, delivering high-quality results within designated deadlines. Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development. Effectively communicating to convey complex concepts to both technical and non-technical stakeholders. Applying respondent level analytics to survey data, testing and refining synthetic data methods, and / or in building timeseries econometric models in relation to solving brand and marketing questions. About you: The successful candidate will bring A technical degree, with a focus on data science or statistics. Solid experience in data science, ideally in Market research or related role Advanced coding in Python and R. Solid knowledge of statistical analysis and machine learning techniques. Proficiency in Python and experience using Jupyter Notebooks and / or colab for data analysis and modelling. Experience in applying respondent level analytics to survey data, and / or in building timeseries econometric models. Ideally in relation to solving brand and marketing questions. Strong problem-solving and critical-thinking skills. Effective communication skills to convey complex concepts to both technical and non-technical stakeholders. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About the Team The Brand Health Tracking Service Line helps clients manage their in-market brands in terms of monitoring health and making sure they are on the right course.Clients have their own sales data, we provide them with brand affinity data to understand how people feel about the brand and its competitors longitudinally. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work! Job Info Job Identification 8162 Job Category Science Posting Date 04/02/2026, 02:22 PM Locations London, England, United Kingdom (Hybrid)

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries, including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi-year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named the Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. Hybrid working policy We operate a hybrid working arrangement from our Head Office in Leeds, designed to balance your commitments and preferences with our client's needs. Whilst we support flexible working, we expect our team members to be in our central Leeds office or with clients at least twice per week. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. The role Thanks to growth in our client base, we are on the lookout for a mid level Business Analyst to join our team. If the thought of solving real world business challenges through data and making a tangible impact with your work sounds good, this role is for you! As a Business Analyst, you will act as a bridge between technical and client teams, playing a key role in projects that span Data Management, Data Engineering, Data Strategy, Cloud & Data Platforms, Insights and AI. Key responsibilities Requirements gathering - Engaging with clients to elicit, document, and validate business requirements. Refining needs - Conducting workshops, interviews, and process mapping exercises to get to the crux of client requirements. Feasibility assessments and business case development - Conducting feasibility assessments and business case creation. Business Process Improvement - Engaging with client stakeholders to understand current workflows and identify inefficiencies, bottlenecks, and improvement opportunities. Designing solutions - Working alongside our technical experts to create impactful, data driven solutions. Bridging business & tech - Facilitating discussions between business stakeholders and technical teams. Delivering real impact - Supporting the implementation of data initiatives, ensuring successful adoption. Beyond client work - Getting involved in proposition development, proposal responses, and helping build Oakland's brand. What we're looking for At mid level, we expect you to have 'learned the ropes' of your craft, and you are a consistent and reliable contributor within teams. This level is a step up from a Junior position, and we will support your development through The Oakland Academy and the L&D benefits listed below. We're open to a mix of backgrounds, but the key skills and experience we are looking for are: A BA or similar delivery background in a technology domain, e.g., Data, Software, Cloud. Experience of using a range of tools & techniques to investigate business problems, elicit requirements, model processes, and deliver business solutions. Experience working in Agile environments and familiarity with ceremonies. Experience of using diagramming tools such as Visio, Lucid etc. Strong communication, problem solving, and collaboration abilities. Experience in stakeholder management and facilitation of workshops/interviews/discovery sessions, or similar. Commercially aware - understanding the business impact of technical initiatives. It would be helpful (but not essential) if you have experience in projects across any of our key service offerings - Data Management, Data Engineering, Data Strategy, Cloud & Data Platforms, Insights, and AI. Benefits That Put You First At Oakland, we believe in taking care of our people, both inside and outside of work. Here's what you can expect when you join us: Health & Wellbeing - Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family-Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes for our people, our clients, and our business. Our commitment to DEIB isn't just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself, no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help, just let us know.

A leading financial technology firm in London is seeking a Senior Software Engineer to join their Research Management Systems team. You'll design and build a new analytics platform, influencing key technical decisions. Ideal candidates have a strong background in software engineering, distributed systems, and proficiency in Python, C++, and JavaScript. This role emphasizes collaboration and mentorship in an inclusive work environment.