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Tier-1 brand and metro location increase applicant density despite niche quant specialization.
Highly domain-specific quant finance expertise and performance C++ development limit cross-industry transferability.
Mandatory 14+ years, specialized quant and C++/Python skills, and domain expertise enforce strict filters.
Lead design and development of quantitative analytics platforms for commodity derivatives pricing and risk management.
Develop and optimize high-performance analytics libraries using Python and C++ integrating quantitative models into production systems.
Provide technical leadership, mentor teams, and collaborate with senior stakeholders across Trading, Risk, and Quantitative Research to drive strategic platform initiatives.
14+ years of experience in developing quantitative analytics platforms in Capital Markets.
Expert-level Python and strong C++ development skills for production-grade analytics and risk systems.
Deep understanding of software engineering, distributed system design, Linux/Unix environments, and CI/CD pipelines.
Work Experience Required: 14+ years in relevant quantitative technology roles.
Extensive experience delivering quantitative technology solutions specifically for derivative pricing, risk, or valuation analytics.
Demonstrated ability to lead technical initiatives and mentor engineering teams in a complex capital markets environment.
Experience working closely with Front Office, Model Risk, and Regulatory teams, especially within commodities markets and analytics contexts.