OneMain, the largest non-bank lender in the United States, has been helping consumers take care of life’s expenses through personal loans for over 100 years.
Core Experience Needed:
•2-4 years experience in quantitative risk analytics. Preferably at a Financial Institution in Fraud or Credit Risk.
•Advanced programming skills and knowledge in analytics and statistic tools (e.g. SAS, R, Python, SQL)
•4-year degree in quantitative discipline such as Statistics, Economics, Business Management or Computer Science. Masters Degree preferred.
•Assist with the architecture and delivery of complex and innovative fraud detection and verification solutions to aid the development of an OMNI-channel application platform.
•Manage fraud prevention strategies that balance loss prevention, sales growth and customer experience.
•Collaborate with business partners to ensure fraud strategies are implemented accurately and on-time.
•Prepare and present monthly fraud performance reporting to management and business partners.
•Monitor performance and report results of income verification enhancements including the income simplification test, Work Number income verification and Finicity income verification.
•Prepare and present analytics results to business partners and management.
•Optimize existing verification and fraud processes to improve customer experience and decrease losses.
•Collaborate with Operational partners to communicate awareness of fraud trends and initiatives.
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 identify, national origin, age, marital status, protected veteran status, or disability status.