Job Responsibilities:
- Conduct robust quantitative and qualitative analysis to evaluate adherence to model development standards and procedures.
- Document model risk control assessments in high-quality technical reports and communicate findings to stakeholders, including the Chief Auditor.
- Identify control weaknesses in the firm's model risk management framework and set standards for model risk control assessments.
- Lead and execute end-to-end model risk analysis, control assessments, and strategic team projects.
- Validate strategic solutions addressing regulatory issues related to model risk management.
- Collaborate with quants, risk and finance professionals, and senior management to oversee model usage and performance assessment.
Required Qualifications, Capabilities, and Skills:
- Strong quantitative and analytical skills with a PhD or Master's Degree in Mathematics, Data Science, Financial Engineering, Economics, Quantitative Finance, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 2+ years of experience in AI/ML product development, quantitative model development, model validation, or data science in the financial services industry.
- Strong leadership and communication skills for writing technical reports and influencing change on model-related issues.
- Proficiency in programming languages (e.g., Python, R) and statistics, derivative pricing, and machine learning modeling techniques.
- Risk and control mindset with the ability to assess materiality and escalate complex issues to senior management.
- Excellent communication skills and ability to interface with other functional areas on model-related issues.
Preferred Qualifications, Capabilities, and Skills:
- Understanding of and proficiency in developing and using AI/ML solutions and frameworks (e.g., Gen-AI, agentic AI, pytest) to ensure code quality and reliability.