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Sr Model Risk Analyst
Job description
Responsibilities
What we are looking for:
- Leverages statistical, financial, economic, and business expertise to conduct and/or oversee independent model validation activities outlined in the bank's Model Risk Management Policy and Federal Reserve SR 11-7 (e.g., evaluating conceptual soundness, reviewing ongoing monitoring plans and reports, and conducting outcomes analysis)
- Writes high quality model validation reports and/or presentations
- Ensures identified model risk issues are effectively remediated
- Contributes to the development and implementation of model risk management policies and procedures
- Keeps abreast of research and trends in statistical modeling and model risk management
- Mentor junior analysts
Qualifications
- PhD in a quantitative field (e.g., statistics, economics, finance, mathematics, computer/data science) and 3+ years of experience (or a master's in a quantitative field with 6+ years of experience) validating and/or developing models in the financial services industry.
- Excellent quantitative modeling, analytical, research, and programming skills
- Expertise in one of the following: SAS, Stata, SPSS, Matlab, R, Python, SQL, BancWare, QRM, PolyPaths
- Strong communication skills, both verbal and written
- Good project management skills, with the ability to work independently on multiple projects and on tight deadlines