Quantitative Risk Analyst Role Overview
We are seeking a skilled Quantitative Risk Analyst to join our Risk Management unit, specifically the Risk Models team.
This is an exciting opportunity for a numbers expert with a passion for risk analysis to contribute to the development and implementation of risk and valuation models that support banking operations.
Key Responsibilities:
1. Contribute to the review, extension, and enhancement of risk models, ensuring they align with industry best practices and regulatory requirements.
2. Implement or prototype risk measurement approaches in IT systems, leveraging expertise in object-oriented programming, relational database modeling, and Python programming.
3. Document risk and valuation models, creating clear and concise technical specifications for implementation by the Risk IT team.
4. Define business and technical specifications for implementation by the Risk IT team, bridging the gap between quantitative models and IT solutions.
5. Collaborate with the Risk IT team to review and enhance IT systems used to measure risk, driving continuous improvement.
Required Skills:
1. Expertise in financial risk measurement and management, including quantitative risk and valuation models.
2. Strong mathematical finance skills, particularly in fixed-income instruments and derivatives.
3. Experience in designing, specifying, and implementing IT systems, as well as proficiency in Python programming.
4. Ability to write clear business and technical specifications, translating complex quantitative concepts into actionable IT solutions.
Desirable Qualifications:
1. Experience with bank stress testing tools and models.
2. Knowledge of numerical methods for calibrating risk and valuation models.
3. Understanding of market and counterparty credit risk models.
Seniority Level and Employment Type:
This role requires a mid-senior level professional working on a contract basis.
Job Function:
The successful candidate will be an Analyst within the Information Technology and Engineering domain.