Software Engineer – Hedge Fund - Prop Trading

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

Leading Proprietary Trading Firm | NYC

4 Days on-site

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

Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.

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 Responsibilities

• Design 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.

Requirements

• 5–8 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 Experience

• Previous 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 Opportunity

Join a highly technical trading environment where engineering directly supports the firm's investment and risk management capabilities. xhqgsiq 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