Quantitative Software Developer (NYC based Fund)
On-site · New York City, New York, United States
Job Summary
Quantitative Developer leading the firm’s quantitative risk technology stack, building analytics and reporting for portfolio management, designing factor models to assess portfolio performance, conducting ad-hoc market analyses, integrating with third-party tools (e.g., Alpha Theory, Barra), and developing Python/C#/SQL-based software in a distributed environment with emphasis on risk analytics, reporting, and APIs; collaboration with portfolio managers and risk teams, plus a focus on unit tests and RESTful services.
Required Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Financial Engineering, or a related field
- Proficiency in C++, Python, and SQL
- Strong understanding of financial markets and risk management, with experience in quantitative finance, portfolio management, or risk technology
- Knowledge of financial reporting and the ability to enhance and develop risk analytics tools and reports
- Experience with third-party financial technology platforms and APIs
- Ability to optimize complex financial systems and improve performance
- Familiarity with modern software development practices, including test-driven development, version control, and continuous integration
- Excellent communication and problem-solving skills with cross-team collaboration
- Previous experience in a finance-focused technology role such as quantitative risk technologist or financial software developer
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