Senior Model Risk Analyst

Job Description

The SFS model risk team is dedicated to ensuring regulatory compliance, reduction of potential model errors or bias, and promoting appropriate use for models created and maintained by SFS. The team achieves this by establishing and implementing model governance frameworks, validating and monitoring model performance, and providing guidance on best practices for model development. We are seeking a Senior Model Risk Analyst to join our team and support our model risk management activities. This position can be fully remote.  

You Will:

• Conduct independent model validation and provide a comprehensive effective challenge of models by partnering with model owners and developers, following Bank policies, regulatory requirements, and industry best practices
• Write validation reports documenting the independent validation process including important observations, recommendations, and associated remedial actions
• Develop and maintain effective working relationships with key stakeholders, ensuring effective communication and understanding of model validation findings
• Review ongoing model performance monitoring reports to ensure satisfactory performance and suggest corrective actions where required
• Monitor the remedial actions taken by model owners and developers to ensure model validation findings are addressed in a timely manner
• Assist with regulatory exams and internal audits to address and prevent recurrence of identified gaps and deficiencies

Qualifications

You Have:

• Master’s or Ph.D. degree in a quantitative discipline such as mathematics, statistics, data science, economics, finance, computer science, or any related field
• 1+ years of experience in model development, model validation, and/or quantitative analysis
• Familiarity with one or more of the following areas of models: underwriting, loss forecast, asset liability management, FP&A, and BSA/AML
• In-depth knowledge of statistical and machine learning modeling techniques and quantitative methods used in model validation
• Proficiency in Python, SQL, and GitHub
• Excellent technical writing and verbal communication skills
• Strong organizational skills with the ability to prioritize and manage multiple projects simultaneously

Even Better:

• 3+ years of experience in model development or model validation in banking or fintech
• Experience in model risk management and related regulatory guidance such as SR 11-7
• Experience in developing challenger models, especially machine learning models