Quantitative Developer
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We're partnering with a leading quantitative trading firm that's looking to add a Quantitative Developer to one of its research and trading teams.This is an opportunity to work at the intersection of software engineering, quantitative research, and live trading. You'll collaborate closely with researchers and traders to build the tools, infrastructure, and production systems that power the firm's research platform and trading strategies.Your work will have a direct impact on research productivity, strategy development, and trading performance.ResponsibilitiesBuild and enhance the software infrastructure used by quantitative researchers and tradersDesign and develop scalable Python applications supporting research and live tradingDevelop tools, libraries, and frameworks that accelerate quantitative research workflowsPartner closely with researchers to deploy models and strategies into productionImprove the performance, reliability, and scalability of research and trading platformsBuild and maintain data pipelines, APIs, and distributed systems for market data and analyticsParticipate in architecture discussions, code reviews, and technical design decisionsRequirementsBachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field3+ years of professional software development experienceStrong Python development experience in production environmentsExperience working with scientific computing libraries such as NumPy, Pandas, Polars, or similarExperience building scalable software, data pipelines, or distributed systemsStrong understanding of algorithms, data structures, and software engineering best practicesExcellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environmentPreferred QualificationsExperience working at a proprietary trading firm, hedge fund, market maker, or quantitative investment firmExperience supporting quantitative researchers or systematic trading teamsExperience with C++, Linux, Bash, or other systems programming toolsFamiliarity with market data, backtesting frameworks, or quantitative research infrastructure