Model Risk Analyst: Innovate, Validate & Optimize Models

Peterson Technology Partners; Chicago (IL); On-site; USD 75,000 - 125,000; Full time

Job summary

Peterson Technology Partners, based in the Chicago area, seeks a Model Risk Analyst to support validation and risk governance. The role blends quantitative analytics with documentation duties to ensure model soundness and regulatory compliance.

You will review data sources, run sensitivity analyses, benchmark models, and present findings to model owners and stakeholders. A track record in statistics, ML, and SQL/R/Python is valuable.

Qualifications

• 0-3 years of modeling or model validation working experience.
• Detail-oriented, a critical thinker with excellent communication skills.
• Proficient in Microsoft Office suite (Excel, Word, Access, PowerPoints).
• Knowledge in Statistics (logistic regression) and basic data analysis plus knowledge of SQL/R/Python.
• Basic understanding in fixed income securities or mortgage products (CFA/FRM certifications a plus).
• Knowledge of stochastic processes or interest-rate model techniques preferred.
• Experience using machine learning techniques utilizing regression and classification algorithms preferred.
• Familiar with Tableau and level of detail (LOD) preferred.

Responsibilities

• Explain and present testing results to MRM, model owners and other stakeholders.
• Work effectively with other risk analysts within MRM and perform ad-hoc analysis to support model-related initiatives.
• Review model data sources, assumptions, and underlying theory for conceptual soundness.
• Perform sensitivity analysis and attribution analysis to determine the key financial risk factor(s)/input(s) impacting the Model.
• Challenge current methods by considering additional modeling enhancements or different metrics to assess model effectiveness.
• Perform independent benchmarking, back testing and other analysis for applicable models.
• Recommend new ways to automate/improve the modeling process.
• Effectively challenge the model owners by identifying potential model weakness and provide constructive recommendations.

Skills

Statistics (logistic regression)

SQL

R

Python

Machine learning

Tableau

Fixed income knowledge

CFA/FRM friendly

Data analysis

Tools

Excel

Word

Access

PowerPoint

Job description

Peterson Technology Partners, based in the Chicago area, seeks a Model Risk Analyst to support validation and risk governance. The role blends quantitative analytics with documentation duties to ensure model soundness and regulatory compliance.

You will review data sources, run sensitivity analyses, benchmark models, and present findings to model owners and stakeholders. A track record in statistics, ML, and SQL/R/Python is valuable.