Director, Exotic Derivatives Model Validation

Hispanic Alliance for Career Enhancement; New York (NY); On-site; USD 150,700 - 261,800; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Retirement savings plan

Job summary

BMO Financial Group is seeking a senior quantitative model validator in the United States to lead model validation across volatility regimes and complex payoffs. You will design benchmarks, validate calibration routines, and communicate model risks to stakeholders.

This role requires an advanced quantitative degree and expert C++/Python skills, with a track record of mentoring juniors and collaborating with trading desks to enhance risk metrics and strategy.

Qualifications

• Advanced degree (PhD or Master’s) in quantitative fields such as mathematics, financial engineering, physics, or computer science.
• 15+ years of hands‑on experience in equity derivatives model validation or front‑office quantitative research.
• Deep knowledge of stochastic calculus, probability theory, and numerical analysis.

Responsibilities

• Develops validation strategies and plans to ensure appropriate validation of models.
• Independently validates/tests models and their assumptions, benchmarks, and supporting documentation.
• Design and implement scalable testing libraries using C++ and Python.
• Collaborate with trading desks to deliver strategic analytics and improve risk metrics.
• Mentor junior quants and contribute to long‑term quantitative research initiatives.
• Represent the model validation program for internal/external audits and examinations.

Skills

C++ programming

Python programming

Verbal & written communication

Analytical thinking

Education

Advanced degree in quantitative field

Tools

Distributed computing

Job description

BMO Financial Group is seeking a senior quantitative model validator in the United States to lead model validation across volatility regimes and complex payoffs. You will design benchmarks, validate calibration routines, and communicate model risks to stakeholders.

This role requires an advanced quantitative degree and expert C++/Python skills, with a track record of mentoring juniors and collaborating with trading desks to enhance risk metrics and strategy.