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Software Engineer - Fixed Income Hedge Fund

Goldman Lloyds

Job Description

Senior Software Engineer – Fixed Income | Hedge Fund

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New York City - On-Site

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Total Comp: Competitive Base + Discretionary year end bonus (2026 bonus buyout consideration)

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A leading alternative investment firm is looking for a senior engineer to build and enhance technology supporting its Fixed Income investment platform.

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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.

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What You’ll Do

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  • Design and develop scalable applications supporting Fixed Income trading, portfolio management and risk.
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  • Build and enhance trading analytics and quantitative tools used by investment professionals.
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  • Partner directly with Traders, Researchers and other front-office stakeholders to deliver new technology.
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  • Develop pipelines processing market, position and transaction data in both real-time and batch environments.
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  • Integrate external market data, APIs and trading platforms into internal systems.
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  • Build scalable services using modern cloud and distributed technologies.
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  • Help define technical architecture and provide guidance to other engineers.
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  • Identify opportunities to modernize and improve the firm's investment technology platform.
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What We’re Looking For

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  • 5+ years of software engineering experience, ideally within financial markets, investment management or hedge funds.
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  • Strong development experience in Python, Java, C# and/or C++.
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  • Good understanding of Fixed Income, trading systems and financial instruments.
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  • Experience with AWS, GCP or Azure.
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  • Strong SQL and experience building data-intensive applications.
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  • Exposure to technologies such as Kafka, Spark, Docker, Kubernetes and CI/CD.
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  • Experience delivering complex, high-performance production systems.
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  • Knowledge of Fixed Income analytics, quantitative finance, Bloomberg or Markit advantageous.
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  • Bachelor's or Master's degree in Computer Science, Engineering or a related technical discipline.
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Vacancy posted 3 days ago
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