Lead Analyst, Credit Analytics

OneMain Financial Group; Wilmington (NC); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

401(k) matching

Employee Stock Purchase Plan

Tuition reimbursement

Paid time off

Paid holidays

Paid volunteer time

Job summary

OneMain Financial is seeking a Lead Analyst, Credit Analytics in a hybrid Wilmington, DE role. You will design and implement underwriting and pricing strategies, analyze historical performance data, and use R/SAS/SQL/Python to test new approaches.

Expect collaboration with cross-functional partners to drive profitability and healthy lending portfolios. You will apply regression and machine learning to understand drivers of customer behavior, develop an end-to-end credit-cycle framework, and

Qualifications

• Bachelor degree in a quantitative discipline is preferred.
• 3+ years of experience in complex, data-driven problem solving.

Responsibilities

• Design, document and execute consumer credit underwriting and pricing strategies from historical data.
• Use data query tools to develop, test and execute new strategies.
• Apply regression and machine learning to understand drivers of customer behavior under different strategies.
• Develop strategy optimization framework with full credit-cycle view to drive growth and profitability.
• Implement Quality Control to ensure data accuracy.
• Automate and enhance reporting and processes for better insights.
• Summarize results and present insights to management.

Skills

R

SAS

SQL

MATLAB

Python

Education

Bachelor's degree in quantitative discipline

Master's or PhD may offset experience

Job description

Lead Analyst, Credit Analytics

Location: (Wilmington, DE) Hybrid

The Role

This role will have exciting opportunity to learn and drive significant business results through optimizing our credit risk underwriting and pricing strategies. These strategies include, but not limited to, approval/decline, loan amount assignment, term, pricing, and risk appetite framework optimization to drive healthy revenue growth, loss mitigation, and streamlining of processes in support of better profitability and healthy lending portfolio.

We are looking for new team members who are excited about creating, designing and implementing new and better solutions to our business challenges with limited supervision. 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 the customer behavior and develop profitable business strategies in a timely and accurate manner. The successful candidate will be able to summarizes their work and communicates effectively to management.

Working with various partners, the role will also have responsibilities of reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read.

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:

• 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.

Qualifications:

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

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

Who we Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-time employees with:

• Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

• Up to 4% matching 401(k)

• Employee Stock Purchase Plan (10% share discount)

• Tuition reimbursement

• Paid time off (15 days vacation per year)

• Paid sick leave as determined by state or local ordinance, prorated based on start date

• Paid holidays (11 days per year, based on start date)

• Paid volunteer time (3 days per year, prorated based on start date)