Software Engineer – Hedge Fund - Prop Trading

Goldman Lloyds; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Goldman Lloyds International is seeking a Software Engineer to develop high-performance applications for market risk, trading and portfolio analytics in a leading prop trading environment in NYC. You will build scalable real-time data processing, risk calculations and cloud-native services, collaborating with traders and risk professionals.

The role requires 5–8 years in software engineering within financial markets, strong skills in Python/Java/C++, and experience with AWS, Kubernetes, Docker

Qualifications

• 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.

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.

Skills

Python

Java

C++

Distributed systems

AWS

Kubernetes

Docker

SQL

Education

Degree in Computer Science or related field

Tools

Docker

Kubernetes

SQL

Job description

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.
• 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

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