P2P

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 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. Qualification 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. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents, please review the California Privacy Notice for information about certain legal rights at

MAIN DUTIES/RESPONSIBILITIES OF THE ROLE: Build, configure and maintain Windows 11 and macOS (MacBook) device images and engineering standards, ensuring a consistent and high-quality end-user experience across the global estate. Manage and administer endpoint platforms using Microsoft Intune and SCCM/MECM, including policy configuration, compliance baselines, and device lifecycle management. Design, package, test and deploy applications across Windows and macOS environments, ensuring reliable and efficient software delivery through Intune and SCCM. Scan, identify and remediate endpoint vulnerabilities across Windows and macOS devices using appropriate tooling, evaluating severity, potential impact and exploitability to prioritise remediation effectively. Collaborate with Cyber Security, Compliance and Service Management teams to ensure endpoint environments remain secure, compliant and aligned with organisational standards. Track vendor patch releases and manage the timely deployment of OS and application patches across the endpoint estate in a prioritised and controlled manner; recommending mitigation measures, such as configuration changes, where immediate patching is not feasible. Act as a senior escalation point for the global support team, providing expert-level troubleshooting and guidance on complex endpoint issues across Windows and macOS platforms. Develop a strong understanding of business processes and how they interact with endpoint technology, using this context to inform engineering decisions and support priorities. Continually review, update and improve endpoint engineering processes, procedures and standards to drive operational excellence and efficiency. SPECIAL CIRCUMSTANCES (e. g. shifts, travel overseas, hours): 9 hour working days between core business hours (0800 - 1800) Some weekend and on-call work will also be necessary. Overseas travel will be required on occasion. PERSON SPECIFICATION WORK EXPERIENCE/BACKGROUND: Essential Desirable: Ability to work in a challenging and dynamic environment Experience of providing production and development support for business critical applications and servers Ability to communicate and work effectively with other IT staff, e.g. developers, desktop support 5+ Years of experience specialising in Microsoft Azure technologies Bachelor's degree in Engineering, computer science, or equivalent work experience. Experience of working in a financial background is preferred. Essential Desirable: Extensive knowledge of Windows Server/Client operating systems and services. (MCSA preferred) Active Directory, Group Policy, ADFS, Azure AD, Conditional Access and SSO, DHCP, DNS Microsoft SCCM / MECM, Jamf Patch My PC PowerShell scripting in enterprise production environments Microsoft Intune / Endpoint Management Intune update rings Windows 10 & 11 desktops - performance troubleshooting and optimization. General networking experience Extensive knowledge of the Microsoft Azure Cloud Adoption Framework (Certified Azure Admin Associate) Extensive knowledge of the Microsoft 365 E5 suite of services (M365/Identity/Security Certified) A good understanding of the Azure technologies TECHNICAL SKILLS/KNOWLEDGE/PROFESSIONAL QUALIFICATIONS: COMPETENCIES/OTHER REQUIREMENTS: Self-motivated individual that can work under their own initiative with minimal supervision Able to deal effectively with external suppliers and providers. Able to communicate effectively with end users, management, and other teams Take ownership of issues and follow through with them until resolution Excellent written and verbal communication Teamwork and interpersonal skills A willingness to learn and keep up to date with technologies

P2P in the United Kingdom seeks a senior Endpoint Engineer to build, configure and maintain Windows 11 and macOS images, ensuring a high-quality end-user experience across the global estate and a consistent engineering standard. You will manage Intune and SCCM/MECM, design and deploy apps, patching, vulnerability remediation, and work with Cyber Security and Compliance teams to keep endpoints secure and compliant. Some weekend/on-call work and overseas travel required.

DRW invites a Senior Software Engineer to join our digital assets team. You will design, build, and secure full-stack solutions-from APIs to user interfaces-supporting treasury automation, wallet inventory, and custody integrations. You'll own the lifecycle from development through production, collaborating with trading desks and business units. The ideal candidate has deep Python experience, crypto/digital-asset systems exposure, and hands-on Kubernetes/CI/CD knowledge to drive rapid delivery

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. DRW has an opening for a Senior Software Engineer focused on digital assets. The team builds and operates systems that move and safeguard cryptoassets across the firm - including treasury automation, wallet inventory and reference data, integrations with custody platforms, and operational controls used by digital asset operations. You'll work directly with those business partners and enjoy building meaningful products from day one. At DRW we strive for an environment where technologists are free to pursue solutions to the problems of the business free from arbitrary management constraints and supported by excellent technical resources. All development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly-coupled service architectures. We ship on Kubernetes with modern CI/CD. Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and value engineers who dig into the business to build the right thing. Responsibilities: Designing, building, and testing full-stack applications (APIs through UI) used by digital asset operations and related business partners. Partnering with those teams to turn ambiguous business problems into clear technical plans and shipped software. Owning software end-to-end after it ships - we run what we build (deploy, operate, on-call); we don't hand systems off to a separate ops team. Working across greenfield systems and existing codebases. Building and improving tooling and processes around CI/CD, containers, and Kubernetes / internal cloud. Collaborating with other software teams, trading desks, and business units. Mentoring and raising the bar for engineering practice on a small team. Learning and championing useful new technologies where they fit. Desirable Experience: We are looking for strong senior engineers with crypto or digital-asset systems experience. Deep Python expertise is a meaningful differentiator for this role. Cryptoassets, digital-asset operations, or custody / wallet platforms (or closely adjacent high-stakes money-movement systems). DeFi, smart contracts, staking, or other on-chain systems. Full-stack development with Python (FastAPI). Strong relational data modeling fundamentals. GitOps and Kubernetes. Job orchestration systems (Airflow, Prefect, etc.). For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents, please review the California Privacy Notice for information about certain legal rights at