Software Engineer - Fixed Income Hedge Fund (New York City Metropolitan Area)
Goldman Lloyds
Senior Software Engineer – Fixed Income | Hedge Fund
New York City - On-Site
Total Comp: Competitive Base + Discretionary year end bonus (2026 bonus buyout consideration)
A leading alternative investment firm is looking for a senior engineer to build and enhance technology supporting its Fixed Income investment platform.
The role sits close to Traders, Quantitative Researchers and investment teams, developing systems across trading, portfolio management, analytics and risk. It requires someone who combines strong software engineering with a genuine understanding of financial markets.
What You’ll Do
- Design and develop scalable applications supporting Fixed Income trading, portfolio management and risk.
- Build and enhance trading analytics and quantitative tools used by investment professionals.
- Partner directly with Traders, Researchers and other front-office stakeholders to deliver new technology.
- Develop pipelines processing market, position and transaction data in both real-time and batch environments.
- Integrate external market data, APIs and trading platforms into internal systems.
- Build scalable services using modern cloud and distributed technologies.
- Help define technical architecture and provide guidance to other engineers.
- Identify opportunities to modernize and improve the firm's investment technology platform.
What We’re Looking For
- 5+ years of software engineering experience, ideally within financial markets, investment management or hedge funds.
- Strong development experience in Python, Java, C# and/or C++.
- Good understanding of Fixed Income, trading systems and financial instruments.
- Experience with AWS, GCP or Azure.
- Strong SQL and experience building data-intensive applications.
- Exposure to technologies such as Kafka, Spark, Docker, Kubernetes and CI/CD.
- Experience delivering complex, high-performance production systems.
- Knowledge of Fixed Income analytics, quantitative finance, Bloomberg or Markit advantageous.
- Bachelor's or Master's degree in Computer Science, Engineering or a related technical discipline.
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