Lead Analyst, Credit Strategy for Auto Finance Analytics Location: Irving, TX, Hybrid Job Description: We are currently seeking Lead Analyst, Credit Strategy for our Auto Finance Analytics team. This role will have the exciting opportunity to drive significant business results by leading key projects and contributing to the innovation, creation, and launch of value-adding products that uniquely leverage the internal and external data resources OneMain has access to. The roles and projects could vary across various parts of the Auto analytics functions like credit risk, pricing, valuations or dealer/channel analytics. As a key member of the Auto analytics team, he or she will combine their business knowledge and analytical skills to develop strategies designed to manage risk, drive growth, and increase profitability; creating best-in-class frameworks based upon various supporting analyses and research including customer segmentation, competitive analysis, underwriting models, and historical performance. This individual will also draw strategic insights from data using analytics tools. Working with various partners, the role will also have responsibilities for strategy implementation, technology roadmap development, competitive intelligence, and performance monitoring. This individual will represent the company and may engage with key business stakeholders, suppliers, external partners, and investors. A successful candidate will utilize skills that enable them to be versatile and successfully lead initiatives across multiple disciplines. They will bring new ways of thinking, data sources, technologies, and capabilities to our business. The Role - Utilize analytic tools (i.e. SAS, SQL, MATLAB, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and reporting for management to make timely, informed decisions. - Design, recommend, document, and execute consumer underwriting, product, channel and/or customer experience strategies to improve our lending portfolio - Partner with other leaders to define business priorities, align resources, and communicate progress to executive leadership - Analyze data and create and validate assumptions that feed into volume growth and profitability strategies - Draw conclusions by making recommendations for developing or modifying existing strategies - Incorporate response models and underwriting models into marketing programs - Continually enhance existing scorecards - Understand the data environment to appropriately prioritize and set expectations for key reporting, and analytical priorities - Effectively prioritize competing initiatives with help of their management chain; translate strategic priorities into initiatives and manage expectations - Elevate talent and culture within team through mentoring, coaching and partnering with other associates Requirements - Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science. - 2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 3+ years required - Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired - Innovative and capable of developing a highly analytical approach to solving problems - Experience driving projects and presenting to senior management on results and ideas - Capability and willingness to learn new areas within the OneMain business and take on diverse projects 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-timers 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) 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.

• Own campaign taxonomy, naming, and reporting architecture across field, ABM, performance, content, and lifecycle • Design and manage lifecycle stages, routing logic, SLAs, lead/account status rules, and handoff governance with sales • Build executive dashboards across pipeline, conversion, budget, and program performance • Develop attribution models that reflect multi-touch, enterprise buying behavior • Audit and maintain high data quality across campaigns, sources, and funnel tracking • Partner with Finance, RevOps, and Marketing on planning, forecasting, and budgeting • Instrument experiments so performance and growth decisions are measurable and not anecdotal • Uphold high standards for analytics by guiding stakeholders away from low-value reports and flawed attribution approaches

**Key responsibilities:** - Own campaign taxonomy, naming, and reporting architecture across field, ABM, performance, content, and lifecycle - Design and manage lifecycle stages, routing logic, SLAs, lead/account status rules, and handoff governance with sales - Build executive dashboards across pipeline, conversion, budget, and program performance - Develop attribution models that reflect multi-touch, enterprise buying behavior - Audit and maintain high data quality across campaigns, sources, and funnel tracking - Partner with Finance, RevOps, and Marketing on planning, forecasting, and budgeting - Instrument experiments so performance and growth decisions are measurable and not anecdotal - Uphold high standards for analytics by guiding stakeholders away from low-value reports and flawed attribution approaches

• Own campaign taxonomy, naming, and reporting architecture across field, ABM, performance, content, and lifecycle • Design and manage lifecycle stages, routing logic, SLAs, lead/account status rules, and handoff governance with sales • Build executive dashboards across pipeline, conversion, budget, and program performance • Develop attribution models that reflect multi-touch, enterprise buying behavior • Audit and maintain high data quality across campaigns, sources, and funnel tracking • Partner with Finance, RevOps, and Marketing on planning, forecasting, and budgeting • Instrument experiments so performance and growth decisions are measurable and not anecdotal • Uphold high standards for analytics by guiding stakeholders away from low-value reports and flawed attribution approaches