Responsibilities
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Develop and maintain C++ and Python applications supporting quantitative research and trading.
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Build analytics, pricing libraries, and tools for backtesting, simulation, and production trading.
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Design and optimize data pipelines handling large historical and real-time market datasets.
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Develop and support production services, including testing, deployment, and monitoring.
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Improve platform scalability, reliability, and performance.
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Partner directly with researchers and investment professionals to deliver robust, production-grade solutions.
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Contribute to technical roadmap, automation, and engineering best practices.
Requirements
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Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
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3+ years of software engineering experience in production environments.
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Strong programming skills in Python and modern C++.
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Experience with SQL, relational databases, and Linux development.
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Experience building, deploying, and supporting production systems.
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Strong performance tuning, debugging, and optimization skills.
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Understanding of financial markets (equities, futures, FX) and market data usage.
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Strong analytical, problem-solving, and communication skills.