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Posted: 10/20/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced quantitative skills and practical modeling experience in developing and implementing quantitative risk models within regulated financial institutions. Proficient in data analysis, statistical modeling, and model governance practices to enhance risk measurement and credit decisioning.
Highest-signal resume keywords
Quantitative Risk ModelingPython ProgrammingSQL ProficiencyModel Performance MonitoringData Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Support the development, implementation, monitoring, and enhancement of quantitative risk models
- Develop, enhance, implement, and monitor quantitative risk models and analytical frameworks
- Perform data analysis, data engineering, and statistical modeling to support risk measurement and credit decisioning
- Evaluate model performance and stability through monitoring, back-testing, sensitivity analysis, and benchmarking
- Identify opportunities to improve model methodologies, predictive performance, and operational efficiency
- Partner with business, credit, risk, and technology stakeholders to translate business requirements into scalable analytical solutions
- Support model documentation, testing, implementation, and governance throughout the model lifecycle
- Contribute to innovative risk analytics capabilities using emerging technologies, automation, and advanced data techniques
Requirements
What you’ll need- Bachelor’s Degree in a related field or equivalent demonstrated through a combination of work experience, training, military service, or education — Required
- 5+ years of experience in risk management, risk modeling, or AML — Required
- Experience programming in Python, SQL, or similar analytical tools — Required
- Experience developing, implementing, monitoring, or validating quantitative risk models in a regulated financial institution — Required
- Experience working with large-scale financial, credit, and portfolio datasets
- Experience addressing data quality and data lineage challenges
- Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment
- Advanced quantitative skills
- Demonstrated practical modeling experience
- Knowledge of statistical modeling, predictive analytics, model performance monitoring, and model governance practices
- Ability to analyze large and complex datasets and identify data quality issues, anomalies, and trends
- Understanding of commercial lending, credit risk measurement, and risk rating frameworks
- Ability to multi-task and meet strict deadlines
- Ability to adjust to new developments/changing circumstances
- Ability to build and foster internal relationships
- Strong written and verbal communication skills
- Master’s Degree in a related field or equivalent demonstrated through a combination of work experience, training, military service, or education — Preferred
- Experience in commercial credit risk, risk rating models, probability of default (PD) modeling, loan risk assessment, or related credit risk disciplines — Preferred
- Experience working with Snowflake or similar cloud-based solutions — Preferred
- Experience supporting model documentation, governance, validation, testing, or regulatory examination activities — Preferred
Benefits
Comp & perks- Fair and competitive rewards package
- Benefits designed to support employees, their families, and well-being
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative Risk ModelsStatistical ModelingPredictive AnalyticsData EngineeringModel ValidationSensitivity AnalysisBenchmarkingData Quality AnalysisCredit Risk MeasurementLoan Risk Assessment
Soft Skills
Strong Communication SkillsAbility to Multi-taskRelationship BuildingAdaptabilityProblem Solving
Tools & Technologies
SnowflakeCloud-based SolutionsAnalytical Tools
Industry Keywords
Risk ManagementAMLFinancial InstitutionModel GovernanceCommercial LendingCredit RiskPortfolio Datasets