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Manager, Credit Card Analtyics

Apply Now Full Job Title: Manager, Credit Card Analtyics Job Number: R2410-43340 Location: Charlotte, North Carolina Date Posted: 10/09/2024

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 looking for a Manager to join the Card Analytics team. This is an exciting opportunity to learn and drive significant business results through ownership and improvement of our Valuations ‘model’ – determining what are the expected revenue, losses, and returns in this growing business unit.

This role will have chance to pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand customer behavior. The successful candidate will be able to summarizes their work and communicates effectively to management.


Working with various partners, the role will also conduct ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance monitoring.


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.

Key Responsibilities

  • Design, recommend, document and execute the valuations model via extracting and analyzing requisite historical customer performance data from multiple disparate systems

  • Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) to inform Valuations curves

  • Develop alternative scenario generation to evaluate marginal approve / decline populations and inform decisions on expansion and contraction

  • 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

Qualifications

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

  • 3-5 years of experience in complex, data-driven problem solving

  • 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 a highly analytical approach to solving problems

  • Lending or consumer finance industry experience preferred

Benefits 
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 

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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