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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in developing and implementing advanced machine learning models for credit-risk acquisition and portfolio management, with a strong foundation in statistical analysis and model validation. Proven ability to lead cross-functional teams and communicate complex modeling strategies to senior stakeholders.
Highest-signal resume keywords
Advanced Machine Learning TechniquesCredit-Risk ModelingPython and/or R ProficiencySQL SkillsModel Development Lifecycle
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Define and own the multi-year modeling roadmap for custom credit-risk acquisition and portfolio management models
- Provide senior strategic and technical leadership across business, credit risk, compliance, and technology stakeholders
- Evaluate emerging modeling capabilities and analytical approaches
- Communicate modeling strategy, project status, and results to senior leaders
- Design and develop advanced ML models for credit card acquisition, underwriting, account management, and customer risk
- Apply advanced statistical and machine learning techniques to large-scale customer and credit datasets
- Conduct fair lending analysis
- Lead model-development projects from problem definition through production implementation
- Translate business objectives into modeling frameworks, target variables, populations, and performance criteria
- Perform feature engineering, variable selection, hyperparameter optimization, and performance evaluation
- Establish training, validation, and out-of-time testing strategies
- Document modeling methodology, assumptions, limitations, and results
- Partner with model validation and model risk management teams
- Research emerging ML techniques and predictive signals from traditional and alternative data
- Develop interpretable ML approaches aligned with regulatory and business requirements
- Develop model performance and stability monitoring frameworks
- Monitor predictive performance, population shifts, variable stability, and model degradation
- Recommend model recalibration, redevelopment, or replacement
- Establish best practices for ML model development, testing, documentation, and deployment
- Serve as a subject-matter expert in advanced ML and credit-risk modeling
Requirements
What you’ll need- Master's degree or PhD in Statistics, Data Science, Computer Science, Mathematics, Operations Research, Econometrics, or a related quantitative field
- 7+ years of experience developing statistical or machine learning models
- Experience preferably in financial services or consumer credit, including credit card acquisition and account-management models
- Strong experience independently developing predictive models using large and complex datasets
- Demonstrated expertise in Python and/or R
- Strong SQL skills
- Experience with gradient boosting, XGBoost, LightGBM, ensemble methods, neural networks, and other advanced ML techniques
- Experience with model explainability techniques such as SHAP and partial dependence
- Experience with the full model-development lifecycle, including development, implementation, and monitoring
- Strong understanding of credit-risk concepts and consumer lending
- Unrestricted work authorization without future sponsorship requirement
Benefits
Comp & perks- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Time Off Programs
- Health Savings Account (HSA)/Dependent Care
- Employee Banking
- Growth Opportunities
- Tuition Assistance
- Short-Term/Long-Term Disability Insurance
- Flexible work arrangement
- Remote work for candidates residing beyond 30 miles of the primary posted location
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingFeature EngineeringHyperparameter OptimizationPerformance EvaluationModel Explainability TechniquesGradient BoostingXGBoostLightGBMNeural NetworksPredictive Modeling
Soft Skills
Strategic LeadershipCommunication SkillsCollaboration
Industry Keywords
Financial ServicesConsumer CreditCredit Card AcquisitionAccount ManagementFair Lending Analysis