Quant Researcher
Hybrid (NYC), Hybrid (South Norwalk)$175k - $250kFull-timePosted 11mo ago
About the role
Researching cutting-edge problems in volatility modeling and options valuation for both vanillas and exotics across all asset classes; implementing solutions in a modern C++ and Python library used by sophisticated market participants; part of a rapidly growing team with significant impact.
Responsibilities
- Research cutting-edge problems in volatility modeling and options valuation for vanillas and exotics across all asset classes.
- Implement solutions in a modern C++ and Python library used by market participants.
- Contribute to a team with immediate and outsized impact in quantitative finance.
- Produce written documentation and clearly present research to colleagues.
Qualifications
- - PhD degree in a hard science or mathematics.
- - Proven track record of research using numerical algorithms, advanced modeling, or computational methods related to mathematical finance or similar fields.
- - Significant experience using modern C++ for large-scale computational calculations, ideally in a high-quality library/framework.
- - Significant experience using the scientific Python stack (Matplotlib, NumPy, Jupyter, etc) for analysis and visualization of research outputs.
- - Strong communication skills, both verbal and written.
- - Experience with software engineering best practices: interface design, version control, unit testing, documentation.
- - Optional: prior industry experience in options market making or derivatives modeling (5 years or less) but not required.
- - Authorized to work in the US.
Skills
Required:PhD in hard science or mathematicsNumerical algorithms / computational methodsC++ (modern)Python scientific stackCommunicationSoftware engineering practices
Last updated Sep 17, 2026. Interested? Apply on the company site.
About Vola Dynamics
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