First Electronic Bank - Model Validation Manager presso First Electronic Bank

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.  

We’re looking for a Model Validation Manager to help us ensure the integrity and performance of the models that power our lending products. In this role, you’ll oversee the validation of models and strategies used to underwrite products like small business loans, credit cards, and personal unsecured installment loans and lines of credit. Reporting to our VP of Credit Risk and Analytics, you'll play a crucial part in ensuring we meet our regulatory requirements and ensuring the models we use are sound.   

 Job Responsibilities:  

• Oversee model validation activities for credit risk, fraud detection, and behavioral credit models across 1-3 key Fintech partnerships. 
• Monitor loan portfolio performance using various data feeds and visualization tools like PowerBI. 
• Collaborate with external data science and modeling teams, offering guidance on model development and ensuring comprehensive documentation. 
• Interface with credit administration and compliance teams to ensure model usage is documented and meets Fair Lending requirements.  
• Manage and maintain the internal model inventory for your assigned partnerships and products. 
• Assist in testing databases for our new Bank data warehouse to ensure accuracy and efficiency. 
• Collaborate on Due Diligence for new partners and products 

Requirements

Qualifications and Experience: 

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field (Master’s degree preferred). 
• Demonstrated experience developing and validating statistical models, with a focus on credit risk and machine learning models is required. 
• Strong understanding of statistical concepts like regression analysis, hypothesis testing, and sampling. 
• Previous model validation experience in banking or financial services industry.  
• Familiarity with regulatory requirements for model risk management oversight (SR 11-7). 
• Proficiency in programming languages such as Python, R, SAS, or SQL. 
• A flexible, adaptable mindset—we’re growing fast, and we need someone who is a team player and can grow with us.  
• Excellent communication skills, with the ability to translate complex technical details into clear, non-technical language for diverse audiences.