Jobs at Sunbit

Lead strategic finance initiatives including financial planning, pricing, capital allocation, ROI and payback analysis, new market evaluation, board reporting, fundraising materials, and revenue modeling. Partner with GTM, Merchant, and Customer teams while supporting M&A and investment decisions. Improve finance data and tooling infrastructure, develop scenario analyses, and translate complex financial information into executive-level narratives. The role requires expertise in financial modeling and a deep understanding of balance sheet lending and consumer credit dynamics.

Lead financial planning and analysis for Sunbit's credit card and POS portfolios. Build and maintain forecasting, LTV/CAC and unit-economics models, monitor credit performance (delinquencies, NCOs, CECL), support month-end reporting and variance analysis, design automated KPI dashboards, and provide scenario/sensitivity analysis to inform strategic decisions and cross-functional stakeholders.

Design, build, and maintain the call center agent desktop and core backend platform. Develop integrations, automation, and AI-driven workflows to improve agent productivity. Ensure scalable, reliable systems with strong testing and observability. Own features end-to-end and collaborate with Product, Customer Success, and Operations.

Own portfolio monitoring and forecasting across card and loan products. Build executive dashboards and forecasting frameworks, perform RCA and remediation, support loss forecasting and provisioning, and collaborate with Risk, Finance, Capital Management, Engineering, and Accounting to inform strategy and lender negotiations.

Lead and scale card operations for Sunbit's card platform, owning Fiserv/processor relationships, program delivery (launches, migrations, fraud, collections), vendor/network management, team leadership, P&L oversight, regulatory compliance, and operational improvements to drive scalability and efficiency.

Lead analytics for the Credit Card portfolio, partnering with Product, Engineering, Credit Risk, Fraud, and Marketing to deliver data-driven strategy. Perform ad-hoc and cohort analyses, design A/B tests, manage BI reports, drive portfolio growth and risk insights, and build scalable data solutions with Data Engineering. Influence executives through clear recommendations and leverage AI tools to accelerate analytics and self-service.