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Senior Manager, Quantitative Analytics
AffirmAffirm quantitative risk leader validating machine-learning underwriting and credit models for buy-now-pay-later lending. Leading teams and strengthening enterprise model risk management.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning modeling, underwriting, and credit risk management, with a strong foundation in Python and SQL for data analysis. Proven leadership in managing and mentoring quantitative teams while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Machine Learning ModelingModel ValidationPython ScriptingSQL Data AnalysisQuantitative Team Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning ModelingModel ValidationPython ScriptingSQL Data AnalysisQuantitative AnalyticsData Integrity EvaluationPerformance Stability TestingModel Risk ManagementStatistical AnalysisData Science
Soft Skills
Problem-SolvingAttention to DetailCritical ThinkingInterpersonal SkillsCuriosity
Industry Keywords
UnderwritingCredit Risk ManagementQuantitative FinanceStatisticsRegulatory Compliance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Oversee the underwriting and credit risk validation sector
- Lead, mentor, and manage a team of quantitative professionals while setting strategic direction
- Execute independent validations of sophisticated machine learning models across underwriting and credit risk management
- Evaluate conceptual soundness, data integrity, and performance stability through testing, reviews, and continuous monitoring
- Detect model weaknesses and collaborate with model owners and developers to resolve validation findings
- Implement and refine the enterprise-wide Model Risk Management framework with cross-functional stakeholders
- Coordinate with Accounting, Internal Controls, and Compliance teams to meet internal standards and regulatory expectations
Requirements
What you’ll need- 9+ years of professional experience in a highly technical role such as model development, model validation, or quantitative analytics
- Deep understanding of machine learning modeling, underwriting, and credit risk management
- Advanced ability to script in Python
- Expertise using SQL to manipulate and analyze large-scale, complex datasets
- Proven track record of hiring, managing, and mentoring quantitative teams
- Ability to combine strategic oversight with hands-on technical work
- BS, MS, or PhD in a quantitative discipline such as Statistics, Quantitative Finance, Mathematics, or Data Science
- Strong problem-solving, attention to detail, curiosity about model mechanics, and critical-thinking skills
- Exceptional interpersonal skills and ability to explain complex technical concepts to diverse audiences
Benefits
Comp & perks- Base pay is part of a total compensation package that may include equity rewards
- Monthly stipends for health, wellness and tech spending
- Health care coverage with all premiums covered for all levels of coverage for employees and dependents
- Flexible Spending Wallets with stipends for Technology, Food, Lifestyle needs, and family forming expenses
- Competitive vacation and holiday schedules
- ESPP enabling employees to buy Affirm shares at a discount
- Reasonable accommodations during the hiring process