Model Risk Analyst/Associate

About the role

J.P. Morgan’s Model Risk Governance and Review Group seeks a Model Risk Analyst/Associate to evaluate and improve complex pricing and electronic market making models across global hubs. The role involves assessing model soundness, developing benchmarks, collaborating with developers and risk teams, and maintaining governance controls. Candidates should hold a quantitative degree, have 3–5 years of relevant experience, and be proficient in probability theory, option pricing, Monte Carlo simulation, and programming in Python, SQL, and C/C++. Strong analytical, communication, and teamwork skills are essential.

What you’ll do

• Assess 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.

What you’ll bring

• Bachelor's/Master's/PhD in quantitative field (Math, Stats, CS, Engineering, Physics).
• 3–5 years (Bachelor), 2–4 years (Master), or 0–2 years (PhD) experience in quantitative models for derivatives/electronic market making.
• Strong foundation in probability theory, stochastic processes, statistics, and numerical analysis.
• Deep understanding of option pricing theory and quantitative models for derivatives.
• Proficiency in Monte Carlo simulation, numerical methods, calibration, and performance benchmarking.
• Excellent analytical, problem‑solving, written and verbal communication skills.
• Proficient in Python, SQL, and C/C++ programming.
• Ownership‑driven, curious, and teamwork‑oriented mindset.

Nice to have

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

Skills

Education

Bachelor's