Quantitative Developer - Python

Job Description

Quant Developer – Trading & Risk Technology | Hedge Fund

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Prop Trading Firm | New York

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Total Comp: Base + Cash Bonus

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The Opportunity

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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.

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Key Responsibilities

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• Engineer scalable Python applications and backend services supporting trading, pricing and portfolio risk.
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• Develop robust APIs and integration frameworks connecting quantitative models with front-office applications.
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• Build and maintain distributed services that enable efficient access to complex financial calculations and investment data.
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• Integrate Python software with existing analytics engines and enterprise data platforms.
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• Deliver tools and integrations supporting Excel-based trading and risk workflows.
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• Work with investment professionals to translate quantitative requirements into reliable, production-ready software.
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• Improve system performance through concurrency, caching, profiling and computational optimisation.
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• Contribute to platform architecture, software quality, deployment and ongoing production stability.
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Requirements

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• 5+ years of professional software development experience, with advanced Python programming skills.
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• Strong background in backend engineering, API development and distributed application architecture.
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• Experience with REST APIs, Protocol Buffers, Kafka or comparable service communication technologies.
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• Familiarity with integrating Python applications into C++ systems or high-performance computational environments.
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• Experience developing or supporting Excel-integrated financial applications.
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• Understanding of financial products and quantitative concepts such as pricing, valuation, sensitivities, portfolio risk and scenario analysis.
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• Strong knowledge of software design, data structures, algorithms and performance optimisation.
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• Professional experience within hedge funds, investment banks, proprietary trading firms or financial technology environments.
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#PythonEngineering #SoftwareEngineer #DistributedSystems #HedgeFund #TradingTechnology #RiskTechnology #QuantitativeDevelopment #FinancialMarkets

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