DRW Holdings, LLC.

DRW Holdings, LLC. in Greater London is seeking a Team Lead for their Data Ecosystem team to manage and mentor data engineers. This role involves leading team development, hands-on software engineering, and engaging with stakeholders to enhance data platform functionality. Required qualifications include over 5 years of experience in data technologies and strong leadership skills. The company values innovation and offers a dynamic environment with opportunities for personal and professional growth.

We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front office role at the intersection of quantitative finance, AI, and product development - focused on building and evolving the firm's AI powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable - by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types - from signal generation and backtesting to risk analysis and research analytics - while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high value use cases for the platform. Determine the right balance between AI autonomy and structured tooling - deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose built code it should call - and build accordingly. Work with front office stakeholders to turn desk needs into well defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities Prototype and validate quantitative workflows end to end - from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis - while defining how the AI should interact with data sources, analytics libraries, desk specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high quality platform code and quantitative libraries - including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform's ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm - trading desks, risk management, researchers, new joiners, and others - to discover emerging use cases and adapt the platform's capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users - diagnosing issues, feeding insights back into platform development, and ensuring a high quality user experience. Qualifications and Experience Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3-7 years' experience in a front office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills - able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem solving ability, intellectual curiosity, and comfort working across team boundaries in a fast paced trading environment. Strong ability to quickly learn and adapt to new technologies - particularly important given the rapid pace of development in AI.

A financial services firm in Greater London is seeking a Quantitative AI Strategist to join its quantitative analytics team. This front-office role focuses on building an AI-powered research platform aimed at enhancing trading and analytical insights. Candidates should have 3-7 years of experience in quantitative finance, solid programming skills in Python, and strong communication abilities to engage with trading desks. Competitive compensation and significant exposure to diverse asset classes are offered.

DRW Holdings, LLC. in London seeks an Associate General Counsel to support trading and treasury activities. You will draft, review and negotiate ISDA Master Agreements and related documents, advising business teams through execution and post execution support. The role requires at least 5 years of UK derivatives experience, strong negotiation skills and the ability to work independently in a fast-paced environment.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking an Associate General Counsel to support DRW's trading businesses and treasury management function in our London office. Core Duties: Draft, review and negotiate ISDA Master Agreements, including Credit Support Annexes and master confirmations, Global Master Repurchase Agreements (GMRA), Global Master Securities Lending Agreements (GMSLA), Master Give-Up Agreements, prime brokerage agreements, portfolio margining agreements, custody agreements and master confirmations Advise internal business teams from initial discussions through documentation, execution and ongoing post-execution support Lead legal negotiations with counterparties and coordinate with internal subject matter experts, support groups and outside counsel Required Skills & Experience: At least 5 years of experience as a practicing lawyer in the UK with a focus on derivatives Strong familiarity with ISDA Master Agreements, including Credit Support Annexes, Global Master Repurchase Agreements (GMRA), Global Master Securities Lending Agreements (GMSLA), prime brokerage agreements, portfolio margining agreements, custody agreements and master confirmations Knowledge of electronic trading and associated documentation Experience negotiating derivatives and trading documentation with a range of entity types Must be comfortable working independently in a fast-paced environment and on tight timelines Ability to effectively communicate at all levels of the firm and across all functional groups Preferred Skills & Experience: Buy-side experience is preferred but not required Experience with digital assets and/or EFETs for physical gas trading is preferred but not required For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at .

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Ecosystem team is an important part of DRW's Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW. As a Team Lead of our Data Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW's data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This role encompasses people leadership, technical leadership, product ownership, and hands on development and support activities. Key Responsibilities Lead and mentor a team of data engineers with a variety of skill sets, fostering a culture of excellence, innovation, and continuous improvement. Use strong leadership skills in mentoring, coaching, feedback, development, negotiation, and conflict management to enhance team performance and help people have a great experience in their work life. Coordinate closely with stakeholders to grow the userbase and deliver high impact functionality to the data platform. Engage in hands on software development and support activities. Drive project ownership, including defining requirements, scheduling, resource allocation, and ensuring timely delivery of projects. Consult with other development teams to understand how they engage with the data platform. Contribute to process discussions, challenging ideas and actively refining the team's processes to maximize throughput. Required Qualifications 5+ years of experience leading engineers in a technical environment, with a strong emphasis on mentoring, development, and team management. 5+ years of experience working with modern data technologies and/or building data-first products. Familiarity with the data modeling practices, storage systems, and compute frameworks common to modern data engineering, with a track record of leveraging this knowledge within a fast-moving data ecosystem. Strong communication and interpersonal skills, capable of balancing and negotiating requests across multiple stakeholders. Desirable Qualifications Experience building, scaling, and supporting large data platforms, and familiarity with the use cases, modeling techniques, and ergonomics expected by data platform users. Experience managing technical roadmaps for platforms with a wide variety of users. Familiarity with the common needs of data platform users within financial firms. History of balancing feedback from multiple users, translating technical roadblocks, refining processes, and improving delivery. Ability to own projects, define requirements, and lead development and support initiatives. Excellent problem solving skills, with the judgment and capacity to deliver data engineering and software engineering artifacts that fit the needs of our users. Track record of fostering collaboration and effective teamwork across global locations. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at .