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Medium - Tier-1 bank, metro location and mid-level experience amplify competition despite niche quant/C++ specialization.
High - role requires specialized securities quant expertise and C++ quant library experience, limiting cross-industry transferability.
High - mandatory 5+ years quant experience, C++ expertise and domain-specific modeling skills required.
Lead development of automated trading algorithms, derivative pricing, and empirical models to analyze market behavior in Securities Quantitative Analytics.
Solve complex business problems involving securities quantitative analytics, including research on trading cost, liquidity, risk models and portfolio construction.
Lead projects and teams, influence broader workgroups, collaborate with senior managers and support trading floor activities.
5+ years of experience in Securities Quantitative Analytics or equivalent through work experience, training, military, or education.
BS or higher degree in Computer Science.
Experience in C++ development constituting 80%+ of development work; proficiency in recent C++ standards (C++17, C++20).
Familiarity with DevOps, build systems (CMake), and software development lifecycle including Agile tools (Git, Jira).
Experienced quantitative developer with deep expertise in C++ and quantitative modeling, particularly in securities or financial markets.
Able to lead complex analytics initiatives and mentor peers, with strong collaboration skills across technical and business stakeholders.
Familiar with model testing, quantitative library development, analytic frameworks, and quantitative mortgage model infrastructure.