Job Description:

We are looking for a new member to join our Interest Rates team within the Model Risk Governance and Review Group, which is responsible for end-to-end model risk management across the firm.

As a Quant Model Risk Vice President, you will assess and help mitigate the model risk of complex models used for valuation and risk measurement of derivatives, with a focus on Interest Rates derivatives. You will work closely with model developers, Front Office, Valuation Control Groups, and model users, while gaining exposure to a variety of business and functional areas.

You will also have managerial responsibility for overseeing, training, and mentoring junior members of the team.

Job Responsibilities:

- Carry out model reviews by analyzing the conceptual soundness of complex pricing models, engines, and reserve methodologies.

- Assess model behavior and the suitability of pricing models and engines for specific products/structures.

- Provide guidance on model usage and act as the first point of contact for the business on new models and changes to existing models.

- Develop and implement alternative model benchmarks, compare outcomes across models, and design model performance metrics.

- Evaluate model performance on a regular basis.

- Liaise with model developers, Front Office, Risk and Valuation Control Groups to provide guidance on model risk.

- Manage, develop, train, and mentor junior members of the team.

Required Qualifications, Capabilities, and Skills:

- 7+ years of experience in a quantitative finance environment (e.g., Front Office quantitative research, model validation, strats, hedge funds), with exposure to derivatives pricing.

- Strong conceptual and mathematical knowledge of derivatives pricing, simulation techniques, probability theory, stochastic processes, partial differential equations, statistics and numerical analysis.

- Practical knowledge of derivatives, their risk drivers, and quantitative models used for pricing and hedging derivatives.

- Exposure to at least one of the following asset classes: interest rates, FX, equity, credit, or commodities, preferably from a model validation or FO perspective.

- MSc, PhD, or equivalent qualification in a quantitative discipline such as Mathematics, Quantitative Finance, Statistics, Engineering, Physics, or a related field.

- Inquisitive mindset, with the ability to ask the right questions, challenge assumptions, and escalate issues appropriately.

- Excellent written and verbal communication skills.

- Strong coding skills, for example in C/C++ or Python.

Preferred Qualifications, Capabilities, and Skills:

- Direct experience with interest rate derivatives and related pricing models such as SABR and Hull-White.

- Familiarity with model risk management frameworks, model governance, benchmarking, and independent model validation.