Software Engineer – Hedge Fund - Prop Trading

Software Engineer – Market Risk Technology | Hedge Fund / Prop TradingLeading Proprietary Trading Firm | NYC4 Days on-sitePlease note: Visa Sponsorship is NOT available. Candidates must be US Citizens or hold Permanent Residency. 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.Key ResponsibilitiesDesign and develop high-performance software applications supporting market risk, trading and portfolio analytics.Build scalable systems for processing real-time market data, positions, P&L and risk exposures.Develop backend services, APIs and analytical frameworks using Python, Java or C++.Engineer cloud-based applications and distributed data processing platforms supporting quantitative risk calculations.Develop technology for risk monitoring, stress testing, scenario analysis and portfolio-level reporting.Optimise application performance, concurrency, scalability and reliability across production systems.Collaborate directly with Traders, Quantitative Researchers and Risk professionals to deliver business-critical technology.Contribute to system architecture, engineering standards and ongoing platform development.Requirements5–8 years of professional software engineering experience, ideally within financial markets or a technically demanding environment.Strong programming skills in Python, Java or C++, with experience developing production-grade applications.Excellent understanding of algorithms, data structures, object-oriented design and distributed systems.Experience with cloud technologies such as AWS, Azure or GCP, including cloud-native application development.Understanding of market risk, trading systems, portfolio analytics or financial risk calculations.Experience building scalable backend services, APIs and data-intensive applications.Strong knowledge of software architecture, performance optimisation and modern engineering practices.Degree in Computer Science, Computer Engineering, Mathematics, Physics or a related technical discipline.Desirable ExperiencePrevious experience within a proprietary trading firm, hedge fund, investment bank or quantitative trading environment.Exposure to VaR, stress testing, risk sensitivities, portfolio exposures or real-time risk monitoring.Experience with microservices, Kubernetes, Docker or distributed cloud infrastructure.Familiarity with SQL, messaging technologies and large-scale financial data processing.The OpportunityJoin 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.Location: NYC#SoftwareEngineering #MarketRisk #Python #Java #Cpp #CloudEngineering #AWS #PropTrading #HedgeFund #DistributedSystems