Description

You will perform data analysis to remediate risks across Commercial and Industrial and Commercial Real Estate risk rating models.

Responsibilities

• Execute analyses and documentation to address risk gaps in commercial rating models.
• Write well-organized, replicable code in Python or R to support analytical recommendations.
• Summarize risk remediation findings in memoranda and update model whitepapers and code prototypes.
• Review conclusions with model leadership and Model Risk Office challengers to address follow-up requirements.
• Develop transparent, high-quality model documentation following governance and control processes.

Required Skills

• 2+ years of experience in data analysis.
• Proficiency in SQL and statistical analysis.
• Strong coding skills in Python or R with a focus on maintainable, efficient code.
• Solid understanding of quantitative analysis methods within financial institutions.
• Master’s degree in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, or Physics.
• Alternatively, a bachelor's degree plus at least 5 years of experience in data analytics.
• Ability to communicate grounded analysis and technical limitations clearly to challenge functions.

Key Skills

Education

Any Graduate