Sr Analyst, Credit Analytics

OneMain Financial; Wilmington (DE); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health benefits

401(k) match up to 4%

Employee Stock Purchase Plan

Tuition reimbursement

Paid time off

Paid holidays

Volunteer time off

Job summary

OneMain Financial is seeking a Sr Analyst in Credit Analytics to drive underwriting and pricing strategy improvements. The role involves extracting data from multiple systems, applying statistical methods, and communicating insights to leadership.

You will collaborate with partners to implement strategies that improve profitability and portfolio quality. The ideal candidate has a quantitative background and 2+ years of data-driven problem solving, with experience in regression and machine

Qualifications

• Bachelor's degree in a quantitative field preferred.
• 2+ years of complex data-driven problem solving experience required.
• Master’s or PhD may offset experience.

Responsibilities

• Design, document and execute consumer credit underwriting and pricing strategies.
• Extract and analyze historical customer performance data from multiple systems.
• Use SQL, R, SAS, Python, MATLAB and decision-tree tools to test new strategies.

Skills

SQL

R

SAS

Python

MATLAB

Data analysis

Education

Bachelor's degree in a quantitative discipline

Tools

Decision tree software

Job description

Sr Analyst, Credit AnalyticsLocation: (Wilmington, DE) HybridThe RoleThis 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 treatmentDrive profitable business growth via developing strategy optimization framework with full credit-cycle viewImplement 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.2+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience.Who we AreOneMain 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 insurancesUp to 4% matching 401(k)Employee Stock Purchase Plan (10% share discount)Tuition reimbursementPaid time off (15 days vacation per year)Paid sick leave as determined by state or local ordinance, prorated based on start datePaid holidays (11 days per year, based on start date)Paid volunteer time (3 days per year, prorated based on start date)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.