DRW Holdings, LLC.

A diversified trading firm is seeking a Trading Systems Engineer to join their Cumberland team. The role involves maintaining the health of trading systems, liaising with trading partners, and providing technical support. Ideal candidates will have a Bachelor's degree in a related field, 2+ years of experience in finance, and strong scripting skills in Python and Bash. The firm values autonomy and innovation, offering a dynamic work environment in London.

A diversified trading firm is seeking a skilled Software Engineer to design and maintain build/release/run tooling for development teams. Candidates should have six or more years of experience in software engineering and proficiency in GitHub Actions and at least one programming language such as Python, Go, Java, or Ruby. The role involves supporting developers' needs while ensuring robust and scalable infrastructure. This position is based in London, England, and offers an innovative and collaborative environment.

A prominent trading firm in London is seeking a Senior Software Engineer to enhance their Risk Technology team. This role involves designing and maintaining applications that calculate portfolio sensitivities and value-at-risk across multiple asset classes. The ideal candidate will have strong programming skills, experience with financial terminology, and the ability to work collaboratively across teams. This position offers a chance to significantly influence the firm's technology capabilities in an innovative environment.

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.

Software Engineer - Equity Index Options Software Engineer - Equity Index Options Job Location London Employment type Regular Department Technology Targeted Start Date Immediate 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. Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Engineer , you will be an integral member of a team of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems by contributing to our full tech stack, from hardware and software development to grid computing. We are looking for individuals eager to learn new technologies to create innovative solutions and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading engineers, and attend a robust training program, all to provide you with the best possible environment to succeed at DRW. How you will make an impact: Design, develop, test and deploy proprietary software including: Trading strategy simulation software optimised for distributed computation Large scale data acquisition, storage, accessibility, and visualisation Ultra-low-latency trading strategies Complex algorithmic trading systems Real time trade management and risk analysis platforms Low level optimisations for data processing Fully automated trading strategies Adapters for exchange protocols Robust inter process communication mechanisms Analyse and tune system performance Collaborate with experienced teammates to learn and implement bespoke solutions that balance speed, features, and cost to improve our technology stack What you bring to the team: Minimum of an undergraduate degree in computer science, physics, mathematics or any related engineering discipline Minimum of 2 years full time experience operating in multiple language domains, including Java, C++, and Python Skills in network programming (TCP/IP), multi threaded applications, computational intelligence, real time programming or GUI programming A strong understanding of object-oriented design, data structures and algorithms A solid foundation in programming with the ability to think, communicate, and code clearly Previous experience in the trading industry is a bonus but not required Strong communication skills to advocate your ideas in a clear and concise manner to the team Experience working in the trading industry is a bonus For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at .