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Lead Analyst, Credit Analytics

Apply Now Full Job Title: Lead Analyst, Credit Analytics Job Number: R2112-28526 Location: Wilmington, Delaware Date Posted: 12/08/2021

About Us
OneMain Financial is the country’s largest lending-exclusive financial company, a trusted name in lending for over 100 years. Since 2005 alone, we have looked beyond customers credit scores to lend more than $152 billion to 16.2 million people looking for simple, affordable loans. With branches across 44 states, we're proud partners of the families and communities we serve. They turn to us to help meet important financial needs, including debt consolidation, medical expenses, household bills and auto purchases. It’s all about doing the right thing – a mission that hasn’t changed for more than 100 years.

The Role
We are currently seeking a Lead Analyst for our Credit Strategy & Analytics team in Wilmington, DE. This is an exciting opportunity to learn and drive significant business results by optimizing our credit risk underwriting and pricing strategies. 

This individual will pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand the customer behavior and develop profitable business strategies in a timely and accurate manner. They will also create, design, and implement new and better solutions to our business challenges with limited supervision. 

A successful candidate will expand their competencies and grow their business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry.


  • Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems

  • Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies

  • Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment

  • Drive profitable business growth via developing strategy optimization framework with full credit-cycle view

  • Implement Quality Control processes to ensure data accuracy

  • Continually enhance existing processes and reporting through automation, quality control, presentation and insights

  • Effectively summarize and present results and insights to management


  • Bachelor’s Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred

  • 3-4+ years of experience in complex, data-driven problem solving preferred. Master’s or PHD degrees may offset experience

  • Strong SQL, SAS and Excel skills required; experience with multiple types of relational databases, BI tools/platforms, and/or additional programming languages is a plus

  • Innovative and capable of developing creative solutions to complex, data-driven problems

  • Knowledge and experience in tools and frameworks to optimize product and pricing decisions

  • Lending or consumer finance industry experience preferred

Because we want our team members to bring us their very best every day, we believe they deserve the right opportunities and benefits. That’s why we packed our comprehensive benefits package for full- and some part-timers with: 
•    Health and wellbeing options for team members and their dependents
•    Up to 4% matching 401(k)
•    Tuition reimbursement
•    Continuing education
•    Bonus eligibility 
•    Paid time off
•    Paid volunteer time 
#LI-SS1 #Analytics

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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