Associate

About the Role

As a Quant Model Risk Associate 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. This role provides the opportunity to gain exposure to various business and functional areas.

Key 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.

Requirements & Tech Stack

• Strong analytical problem-solving skills.
• 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.

Qualifications

Education:

• Bachelor's, Master's, or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).

Experience:

• Bachelor's degree with 3+ years of experience in a quantitative modelling or model validation role.
• Master's degree with 2+ years of experience in a quantitative modelling or model validation role.
• PhD with up to 2 years of experience in a quantitative modelling or model validation role (including relevant internships or research).

Preferred Qualifications

• 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.