Risk Management - Quant Modeling Lead - Vice President

JPMorgan Chase & Co.•New York, NY

9d•$147,250 - $215,000

About The Position

As a Quant Model Risk Vice President in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with the models used by Treasury for resolution and recovery, liquidity, stress testing and budgeting. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as to collaborate closely with model developers and users.

Requirements

Bachelor’s, Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
5+ years of experience in a quantitative modelling or model validation role.
Strong analytical problem-solving skills and clear written/verbal communication, ability to articulate technical issues to diverse stakeholders and write high quality technical reports.
Knowledge of financial products / markets and regulatory requirements.
Risk- and control-oriented mindset: ability to ask incisive questions, assess the materiality of model issues, and escalate issues appropriately.
Ability to work in a fast-paced, results-driven environment.
Curious, ownership-driven, and teamwork-oriented mindset.

Nice To Haves

Prior experience with Treasury function and its models.
Hands-on programming experience with at least one of the programming languages such as Python, R, MATLAB, C/C++ etc.

Responsibilities

Perform model reviews: evaluate the conceptual soundness of a model, assess its behavior under various market conditions and its suitability in the context of usage.
Guide on model usage and act as the first point of contact for the business on all new models and changes to existing models.
Develop and implement alternative model benchmarks and compare the outcome of various models. Design model performance metrics.
Liaise with model developers, users, and compliance groups, and provide guidance on model risk.
Evaluate model performance on a regular basis.