Software Engineer, Research – Cumberland Systematic

Software Engineer, Research – Cumberland SystematicLondonDRW 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.Cumberland Systematicis a multi-asset trading team focused on mid and high-frequency fully systematic strategies in the delta one space. We trade 24/7 globally with our team located primarily in Chicago and London.We are looking for a Software Engineer to join our team.You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements.You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data.The team’s existing systems are written in Python and C++.Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and engineers are expected to gain an intimate understanding of the business and work directly with quantitative researchers on a daily basis.Responsibilities:Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial researchAccelerate the research lifecycle from data engineering to feature generation and analysisIntegrate with diverse data sources such as blockchains, exchanges, and data vendorsTest at the unit, functional, and integration levelsWork within in a small team as well as independently with a strong user focusProvide on-call support as neededTo qualify for this role, you must have:Python experience gained through professional experienceBuilt complex systems in modern Python that are maintainable and safely refactorableHands-on experience managing large, evolving timeseries dataA working knowledge of type safety and type systemsStrong verbal and written communication skillsStrong internal motivation and a continual desire to learnBonus points if you have:Contributions to open-source crypto projectsProduction experience running full or archive blockchain nodes at scaleCollaborated with quantitative researchersA working knowledge of high-level machine learning concepts and lifecycleExperience with functional programming and immutable design principlesPractical knowledge of major blockchain types and clientsFor more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice .Accepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileWebsiteHow did you hear about this job? * Select...Please provide additional detail if appropriate.Are you legally permitted to work in the UK? * Select...Do you have a current UK work permit? * Select...Will you now or in the future require DRW to sponsor you in the UK? * Select...Legal First Name (if different from preferred name)Legal Last Name (if different from preferred name)If you do not currently live in London, are you open to moving to London? * Select...Voluntary Self-IdentificationFor government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. 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