Lead Analyst – Originations Analytics

OneMain Financial • Wilmington, DE

2d • Hybrid

About The Position

OneMain Financial is seeking a Lead Analyst to join its Originations Strategy and Analytics team in Wilmington, Delaware. The role uses data analytics and hypothesis-driven testing to improve loan growth, origination economics, and customer experience, with a particular focus on verification and product sales. The analyst works with cross-functional teams to assess current strategies, identify improvement opportunities, develop business cases and testing plans, and execute complex projects across the project cycle. The role also offers opportunities to build business and industry knowledge and develop new approaches to lending challenges.

The analyst designs, recommends, documents, and executes origination strategies by extracting and analyzing historical customer performance data from multiple systems. They use query tools and decision-tree software to develop, test, and execute strategies and customer segmentation schemes; apply regression and machine-learning techniques to understand drivers and estimate customer behavior under different treatments; implement data-accuracy controls; automate and improve existing processes and reporting; and present findings and insights to management.

Requirements

• Bachelor’s degree in a quantitative discipline such as Engineering, Statistics, Economics, or Computer Science.
• At least 3 years of relevant analytical experience.
• At least 3 years of experience in a complex, data-driven problem-solving environment.
• Strong SQL, Python, and Excel skills.
• Innovative approach and ability to develop highly analytical solutions to problems.

Nice To Haves

• Graduate degree preferred.
• Experience with multiple types of relational databases, BI tools or platforms, and/or additional programming languages.
• Lending or consumer finance industry experience preferred.

Responsibilities

• Design, recommend, document, and execute origination strategies using historical customer performance data from multiple systems.
• Use data query tools and decision-tree analytical software to develop, test, and execute strategies and segmentation schemes.
• Apply regression models and machine-learning algorithms to identify key drivers and estimate customer behavior under different strategy treatments.
• Implement quality-control processes to ensure data accuracy.
• Improve existing processes and reporting through automation, quality control, presentation, and insights.
• Summarize and present results and insights to management.
• Work with cross-functional teams to evaluate strategies, identify improvement opportunities, and develop business cases and testing plans.

Benefits

• Health and wellbeing options, including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurance.
• Up to 4% matching 401(k).
• Employee Stock Purchase Plan with a 10% share discount.
• Tuition reimbursement.
• Paid time off, including 15 vacation days per year, prorated based on start date.
• Paid sick leave as determined by state or local ordinance, prorated based on start date.
• 11 paid holidays, including 4 floating holidays, prorated based on start date.
• Paid volunteer time: 3 days per year, prorated based on start date.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior