Software Engineer - Hedge Fund - Prop Trading

Job Description

Software Engineer – Market Risk Technology | Hedge Fund / Prop Trading

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Leading Proprietary Trading Firm | NYC

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4 Days on-site

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Please note: Visa Sponsorship is NOT available. Candidates must be US Citizens or hold Permanent Residency.

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A leading global proprietary trading firm is seeking an experienced Software Engineer to develop sophisticated technology supporting its trading and market risk infrastructure. The role combines Python, Java, C++, distributed systems and cloud technologies, building scalable applications used by Traders, Quantitative Researchers and Risk Managers to monitor exposures, analyse portfolio risk and support trading decisions.

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Key Responsibilities

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• Design and develop high-performance software applications supporting market risk, trading and portfolio analytics.

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• Build scalable systems for processing real-time market data, positions, P&L and risk exposures.

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• Develop backend services, APIs and analytical frameworks using Python, Java or C++.

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• Engineer cloud-based applications and distributed data processing platforms supporting quantitative risk calculations.

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• Develop technology for risk monitoring, stress testing, scenario analysis and portfolio-level reporting.

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• Optimise application performance, concurrency, scalability and reliability across production systems.

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• Collaborate directly with Traders, Quantitative Researchers and Risk professionals to deliver business-critical technology.

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• Contribute to system architecture, engineering standards and ongoing platform development.

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Requirements

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• 5–8 years of professional software engineering experience, ideally within financial markets or a technically demanding environment.

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• Strong programming skills in Python, Java or C++, with experience developing production-grade applications.

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• Excellent understanding of algorithms, data structures, object-oriented design and distributed systems.

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• Experience with cloud technologies such as AWS, Azure or GCP, including cloud-native application development.

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• Understanding of market risk, trading systems, portfolio analytics or financial risk calculations.

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• Experience building scalable backend services, APIs and data-intensive applications.

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• Strong knowledge of software architecture, performance optimisation and modern engineering practices.

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• Degree in Computer Science, Computer Engineering, Mathematics, Physics or a related technical discipline.

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Desirable Experience

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• Previous experience within a proprietary trading firm, hedge fund, investment bank or quantitative trading environment.

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• Exposure to VaR, stress testing, risk sensitivities, portfolio exposures or real-time risk monitoring.

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• Experience with microservices, Kubernetes, Docker or distributed cloud infrastructure.

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• Familiarity with SQL, messaging technologies and large-scale financial data processing.

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The Opportunity

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Join a highly technical trading environment where engineering directly supports the firm's investment and risk management capabilities. The role offers significant ownership, challenging distributed systems problems and close interaction with front-office investment professionals.

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Location: NYC

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#SoftwareEngineering #MarketRisk #Python #Java #Cpp #CloudEngineering #AWS #PropTrading #HedgeFund #DistributedSystems

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