Self Financial

Perform loss forecasting, develop and refine credit risk models, and support business planning and risk management. | 7+ years in consumer lending credit risk management, proficiency in SQL, Python, R, SAS, and experience with credit analytics and loss forecasting. | Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve. Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit. We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool. About the Role The Senior Forecasting Analytics Manager will be a key member of the Credit Analytics team, focusing on forecasting analytics for credit and fraud losses for a portfolio of secured and unsecured credit cards and credit builder accounts. The role will also support forecasting of various loan servicing operations activities to assist in allocation and planning of staffing and other initiatives to drive efficiencies. This is an individual contributor role committed to analytically-driven decision-making to support Self’s growth as the premier credit building platform. What you will do: Perform loss forecasting for credit cards, credit builder accounts, and other consumer lending product types. Assume ownership of the CECL reserve model and governance processes. Develop and refine forecasting techniques to project delinquency, roll rates, losses and recoveries to drive business planning and tracking. Preparation of regular portfolio review materials for the Credit Committee. Develop and maintain forecasts in support of servicing operations, such as credit bureau dispute volumes, contact activity, etc. Deliver timely analytical support for requests from finance, bank partners, and other external data requests. Conduct deep dives, stress testing, and sensitivity analyses of trends, issues, and business events to assess impact on portfolio performance. Partner with the Credit Strategy teams to explore new approaches, models, and data sources to support innovation in risk strategies. Review and approve monthly credit card revenue reports for reconciliation with bank partners. Participate in collaboration with the data team to design data sources and data structures to enable efficient and high integrity credit risk analytics. Develop vintage curves of activation, utilization, losses, etc. for card unit economics modeling. Who you are: Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Finance, or similar fields. Advanced quantitative degree is preferred. 7+ years experience in banking or consumer lending credit risk management. 5+ years experience with credit analytics and/or loss forecasting. Experience with the sub-prime consumer segment is highly desirable. Experience using time series analysis, statistical modelling, machine learning, vintage curves, and roll rates to analyze loan performance. Deep familiarity with a range of credit performance metrics used in consumer lending. Highly proficient with analytical tools such as SQL, R, SAS, and Python. Proficiency with Microsoft Excel and/or Google Sheets is required. Familiarity with business intelligence tools like Tableau, Power BI, Domo, etc. Posses a basic understanding of the regulatory environment for consumer lending. Excellent writing, documentation and presentation skills. An innate curiosity about the way things work. Relentless persistence in solving problems. Base salary is $131,000-195,000 annually. Individual pay is based on factors unique to each candidate, including skill set, experience, location, and other job-related reasons. Benefits and Perks: We have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. We have a Do the Right Thing ethos in all that we do, and we hope you value that approach, too. Our perks include: Company equity in the form of Stock Options Performance-based bonuses Generous employer-paid health, vision and dental insurance coverage Flexible vacation policy Educational assistance Free gym membership Casual dress code Team building events and activities Remote work arrangements/ flexible work schedule Paid parental leave Self Financial requires all employees hired to successfully pass a background check. We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.

Develop and maintain financial models, partner cross-functionally to forecast and analyze business performance, build executive dashboards, and support financial close cycles. | 4-6+ years in FP&A or similar, expert Excel skills, familiarity with SQL and BI tools, strong communication, strategic mindset, and preferably FinTech or SaaS experience. | Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve. Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit. We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool. About the Role We’re seeking a Senior Financial Analyst to join our high-impact Finance team. In this role, you’ll serve as a strategic finance partner to business leaders, driving key forecasting, reporting, and decision-support efforts. You'll develop models that power executive decisions, analyze performance across product and marketing investments, and surface insights that fuel growth. This is a highly visible and analytical role — ideal for someone who thrives in a fast-paced environment and has a deep desire to influence strategy through data. What You’ll Do • Own and enhance financial models to support short- and long-term planning, with a focus on accuracy, flexibility, and insight. • Partner cross-functionally with Marketing, Product, and Analytics to develop, validate, and refine forecasts and business cases. • Build dashboards and executive reporting that track key performance metrics (e.g., customer acquisition cost, LTV, unit economics). • Analyze trends, variances, and risks in performance; proactively flag issues and recommend actions. • Support monthly and quarterly close cycles with variance analysis and board-level insights. • Translate complex financial data into actionable, business-friendly narratives for leadership. • Continuously improve forecasting processes, reporting tools, and data quality. What You’ll Bring • 4–6+ years of experience in Financial Planning & Analysis (FP&A), strategic finance, investment banking, or similar. • Expert-level Excel modeling skills; capable of building dynamic, scenario-driven models from scratch. • Experience with SQL (nice to have) and comfort working with large, complex datasets working with large, complex datasets. • Familiarity with Tableau, Looker, or similar BI tools for data visualization and reporting. • Excellent communication and storytelling skills — able to translate analysis into clear business insights. • Strategic mindset with a bias for action, curiosity, and problem-solving. • Comfortable operating independently and collaboratively in a fast-moving environment. • Experience in FinTech, SaaS, or consumer financial services preferred. • Intellectual curiosity and a desire to deeply understand business drivers; comfortable partnering with the executive team to problem-solve and influence decision-making Location: Remote or Hybrid (Austin, TX preferred) Base salary is $124,000-165,000 annually. Individual pay is based on factors unique to each candidate, including skill set, experience, and other job-related reasons. Benefits and Perks: We have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. We have a Do the Right Thing ethos in all that we do, and we hope you value that approach, too. Our perks include: • Company equity in the form of Stock Options • Performance-based bonuses • Generous employer-paid health, vision and dental insurance coverage • Flexible vacation policy • Educational assistance • Free gym membership • Casual dress code • Team building events and activities • Remote work arrangements/ flexible work schedule • Paid parental leave Self Financial requires all employees hired to successfully pass a background check. We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.