Summary
✨ AI‑Generated
Work at the intersection of software engineering, quantitative research, and financial trading. You will build scalable Python applications, APIs, internal tools, high-performance data pipelines, and distributed systems supporting research and live trading. The role offers close collaboration with traders, quantitative researchers, and experienced engineers.
Highlights
Highly visible engineering work with direct impact on trading performance, close collaboration with traders and quantitative researchers, and opportunities to build scalable production systems and sophisticated data infrastructure.
Description
We're partnering with a leading proprietary trading firm that's looking to add a Senior Python Engineer to a team responsible for building the technology that powers quantitative research and live trading.
This role sits at the intersection of software engineering, quantitative research, and trading.
You'll work directly with traders, quantitative researchers, and engineers to build scalable production systems, improve research workflows, and develop the infrastructure that drives trading performance.
This is a highly visible engineering role where your work will have a direct impact on the firm's ability to research, deploy, and operate trading strategies.
Responsibilities
Design, develop, and maintain scalable Python applications supporting quantitative research and live tradingBuild frameworks, APIs, and internal tools used by traders and quantitative researchersDevelop high-performance data pipelines and distributed systems for market data and analyticsImprove the reliability, scalability, and performance of production trading infrastructurePartner with quantitative researchers to transition research into production-quality softwareDrive technical design discussions, perform code reviews, and mentor other engineersEvaluate new technologies and continuously improve the firm's engineering platform
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field5+ years of professional Python software engineering experienceExperience building large-scale, production Python systemsStrong understanding of distributed systems, APIs, data structures, and software architectureExperience working in Linux environments and modern development workflowsFamiliarity with CI/CD, automated testing, and software engineering best practicesStrong communication skills and the ability to collaborate across technical teams
Preferred Qualifications
Experience within a proprietary trading firm, hedge fund, market maker, or electronic trading environmentExperience building software that supports quantitative researchers or trading teamsFamiliarity with the scientific Python ecosystem (NumPy, Pandas, Polars, PyArrow, etc.)Experience with C++, Rust, or another systems programming language is a plus
Why Join?
Build technology that directly impacts live trading and P&LWork alongside world-class traders, quantitative researchers, and engineersSolve challenging problems involving distributed systems, large-scale data, and performance optimizationHigh-ownership environment with significant autonomy and influenceCompetitive compensation, discretionary bonus, and outstanding benefits
