Job responsibilities

Assess the conceptual soundness of complex pricing and electronic market making models.
Develop and implement alternative model benchmarks and performance tests.
Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage.
Maintain model risk control apparatus and serve as the first point of contact for the coverage area.

Required qualifications, capabilities, and skills

Education: Bachelor s, Master s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
Bachelor s degree with 3 5 years, Master s degree with 2 4 years, or PhD with 0 2 years of experience in quantitative models for derivatives and/or electronic market making.
Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
Strong understanding of option pricing theory and quantitative models for derivatives.
Experience with Monte Carlo simulation and numerical methods, familiarity with calibration techniques and performance benchmarking.
Strong analytical problem-solving skills and clear written/verbal communication, ability to articulate technical issues to diverse stakeholders.
Proficiency in Python, SQL and C/C++ programming.
Curious, ownership-driven, and teamwork-oriented mindset.

Preferred qualifications, capabilities and skills

Prior model validation or front office quant experience in pricing, risk, or electronic market making models.

Model Risk Analyst

Job Description