Quantitative Risk Modeling & Analytics Analyst

Selby Jennings; Indianapolis (IN); On-site; USD 110,000 - 160,000; Full time

Job summary

Selby Jennings seeks a Quantitative Risk Modeling & Research Analyst to join its Enterprise Risk team. The role focuses on quantitative research, model development, implementation, validation support, and ongoing enhancement of credit, valuation, and risk models used across the organization.

The ideal candidate holds a Masters or PhD in a quantitative field and has 1–4 years of experience with strong SQL, Python, and/or C++ skills, plus familiarity with model governance and validation.

Qualifications

• Master's or PhD in Statistics, Mathematics, Financial Engineering, Economics, Operations Research, or a related quantitative field
• 1–4 years of experience in quantitative research, model development, risk analytics, or related functions within financial services
• Strong skills in SQL, Python and/or C++
• Experience applying statistical and analytical techniques to financial or risk-related problems
• Familiarity with model governance and validation

Responsibilities

• Conduct quantitative research and evaluate emerging methodologies to improve risk measurement and model performance
• Develop, implement, and maintain models related to credit risk, valuation, collateral analysis, and loss forecasting
• Perform model testing, calibration, monitoring, and statistical analysis to assess model effectiveness
• Create and maintain model documentation, methodologies, assumptions, and governance materials
• Partner with risk, audit, technology, and business teams to support model development and analytics initiatives
• Support model validation activities, regulatory reviews, and remediation efforts
• Lead model enhancements and contribute to broader research and analytics initiatives

Skills

SQL

Python

C++

Education

Statistics / Math / Financial Engineering

Tools

SQL

Python

C++

Job description

Selby Jennings seeks a Quantitative Risk Modeling & Research Analyst to join its Enterprise Risk team. The role focuses on quantitative research, model development, implementation, validation support, and ongoing enhancement of credit, valuation, and risk models used across the organization.

The ideal candidate holds a Masters or PhD in a quantitative field and has 1–4 years of experience with strong SQL, Python, and/or C++ skills, plus familiarity with model governance and validation.