Quantitative Developer - Python
Summary
Senior Python engineer at a New York hedge fund building backend services, APIs and distributed systems supporting trading, pricing and portfolio risk. Works closely with portfolio managers, traders, quants and risk teams using Python, REST APIs, Protocol Buffers, Kafka and C++/Excel integrations.
Quant Developer – Trading & Risk Technology | Hedge Fund
Prop Trading Firm | New York
Total Comp: Base + Cash Bonus
The Opportunity
An established global hedge fund is looking to hire a senior Python engineer to build and enhance technology supporting its investment, trading and risk functions. This is a hands-on development role focused on Python engineering, distributed systems and quantitative applications, with direct interaction across Portfolio Managers, Traders, Quantitative Researchers and Risk professionals.
Key Responsibilities
- Engineer scalable Python applications and backend services supporting trading, pricing and portfolio risk.
- Develop robust APIs and integration frameworks connecting quantitative models with front-office applications.
- Build and maintain distributed services that enable efficient access to complex financial calculations and investment data.
- Integrate Python software with existing analytics engines and enterprise data platforms.
- Deliver tools and integrations supporting Excel-based trading and risk workflows.
- Work with investment professionals to translate quantitative requirements into reliable, production-ready software.
- Improve system performance through concurrency, caching, profiling and computational optimisation.
- Contribute to platform architecture, software quality, deployment and ongoing production stability.
Requirements
- 5+ years of professional software development experience, with advanced Python programming skills.
- Strong background in backend engineering, API development and distributed application architecture.
- Experience with REST APIs, Protocol Buffers, Kafka or comparable service communication technologies.
- Familiarity with integrating Python applications into C++ systems or high-performance computational environments.
- Experience developing or supporting Excel-integrated financial applications.
- Understanding of financial products and quantitative concepts such as pricing, valuation, sensitivities, portfolio risk and scenario analysis.
- Strong knowledge of software design, data structures, algorithms and performance optimisation.
- Professional experience within hedge funds, investment banks, proprietary trading firms or financial technology environments.
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