Software Engineer - Hedge Fund - Prop Trading
Full-time
Goldman Lloyds
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.
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. 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
Vacancy posted 1 day ago
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