About the role

Quant Modelling Associate will join JPMorgan Chase’s Risk Management and Compliance team to evaluate, test, and govern complex valuation and risk models for derivatives. The role involves independent model review, performance testing, risk assessment, and stakeholder communication, ensuring model integrity and compliance with governance standards.

What you’ll do

Evaluate model specs, assumptions, inputs, testing, implementation, metrics, and risk measures.
Perform independent testing by replicating or building benchmark models.
Design experiments to assess impact of model limitations, parameter errors, and assumption deviations.
Identify and mitigate risks from non-transparent parameters and non-linear relationships.
Document findings and communicate to stakeholders.
Serve as first point of contact for model governance inquiries and issue escalation.
Guide model developers, users, and stakeholders on appropriate model usage.
Monitor performance testing outcomes and communicate results.
Maintain model inventory and metadata for coverage area.
Stay updated on latest developments in products, markets, models, risk practices, and industry standards.

What you’ll bring

Master’s degree in quantitative field (Math, Physics, Engineering, CS) with 3+ years experience or PhD.
Strong probability, stochastic, statistical/economic modeling, PDE, and numerical analysis skills.
Knowledge of options and derivative pricing theory and risks.
Proficiency in Python, R, Matlab, C++ or similar programming languages.
Risk and control mindset, strong communication, analytical and problem-solving skills.

Nice to have

Knowledge of machine learning is a plus.

Skills

Probability theory, stochastic processes, statistical/economic modeling, PDE, numerical analysis.Options and derivative pricing theory and risks.Python, R, Matlab, C++ programming.Risk and control mindset, strong communication, analytical and problem-solving.

Education

Master