Model Validation Analyst at First Electronic Bank

Salt Lake City, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

0.0

Posted On

23 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, Credit Risk Modeling, Statistical Modeling, SQL, Python, R, SAS, Machine Learning, Regulatory Compliance, Underwriting Strategies, Model Risk Management, Data Analysis, CECL, Credit Policy, Risk Metrics, Due Diligence

Industry

Banking

Description

Description At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions. The Model Validation Analyst plays a critical role in ensuring model integrity, regulatory compliance, and sound risk management practices. This role reports to the Head of Credit Risk and Portfolio Analytics Credit and supports the Bank’s strategic partner program by reviewing statistical models used in underwriting and assessing overall model risk across partnerships. What You'll Do: Review third-party model validation documentation for conceptual soundness and alignment with applicable regulatory guidance. Assess and challenge credit models and underwriting strategies used in loan origination. Maintain a comprehensive inventory of all models used by the Bank, including underwriting, fraud, and marketing models. Evaluate model performance monitoring practices and ensure appropriate tracking of key risk indicators. Partner with Compliance, Legal, and Strategic Partner Management teams to ensure models meet applicable regulatory and internal policy requirements. Prepare reports and present model risk metrics to the Bank’s Credit Committee. Monitor and test credit origination strategies to validate accuracy and consistency of credit decisions. Conduct model and credit risk due diligence for prospective fintech partners. Participate in or lead initiatives to enhance model risk management processes and improve overall risk oversight. Requirements What We're Looking For: Education & Experience Master’s degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative field; OR Bachelor’s degree with 3+ years of relevant experience in model development or validation. Prior experience developing and/or validating credit risk models is required. 3+ years of experience in banking, financial services, or a related industry is preferred. Technical Skills Strong understanding of statistical modeling techniques, including regression and classification models. Ability to evaluate model structure, assumptions, and validation methodologies. Familiarity with machine learning models and their application in credit decisioning. Proficiency in one or more programming languages/tools, such as SQL, Python, R, or SAS. Working knowledge of credit policies and underwriting frameworks. Familiarity with CECL models is a strong plus. Professional Skills Ability to work effectively across cross-functional teams, including Compliance, Audit, and Model Risk Management. Strong analytical and critical thinking skills with attention to detail. Effective written and verbal communication skills, including the ability to present technical concepts to non-technical audiences. Strong organizational and prioritization skills in a fast-paced environment. Additional Information Experience working with regulatory, audit, or model risk management frameworks is a plus. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) required.

Responsibilities

The analyst is responsible for reviewing third-party model validation documentation and assessing credit models used in loan origination. They will maintain a model inventory, monitor performance metrics, and ensure alignment with regulatory guidance and internal policies.