Quantitative Model Validation Analyst

Role Overview

• Validates, tests, documents, and oversees usage of complex statistical Treasury Risk and Pre-provision Net Revenue (PPNR) models.
• Regularly reviews model monitoring reports.
• Deliverables include the creation of model validation documentation such as: presentations, written validation and annual review reports, and related code reviews, review and closure of issues and findings, etc.

Requirements

• Bachelor’s degree in a quantitative field, and five or more years of relevant experience OR
• MA/MS in a quantitative field, and three or more years of related experience OR
• PhD in a quantitative field, and less than two years of related experience
• Strong statistical modeling or model validation background based on technical training or advanced education in a quantitative field
• Strong knowledge of various regression techniques, times series techniques, parametric and non-parametric models, and other statistical models, various model validation tests/methodologies, using Python, R, SAS, or similar statistical package
• Strong data compilation, coding skills, qualitative analysis skills, and knowledge of SQL
• Advanced knowledge of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Demonstrated independence, team work and leadership skills
• Strong project management skills
• Excellent written and verbal communication skills

Tech Stack

• Python
• SQL

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law