FP&A Manager, GTM Finance - Credit Products

As Marqeta’s FP&A Manager, GTM Finance — Credit Products, you will focus on Marqeta's credit business by partnering with Sales, Legal, Product, Credit Risk, and Capital Markets to model pricing, evaluate profitability, and structure deals that win business while protecting unit economics. You'll flex in on debit and prepaid as needed, but credit is where you'll spend the majority of your time.

Credit deals are not debit deals. They come with different revenue mechanics, cost structures, and stakeholders — and modeling them well means understanding life-of-loan economics, vintage performance, capital efficiency, and revenue share splits across multiple parties. A meaningful part of this role is partnering with Marqeta's credit function to build financial models that help secure new bank partnerships and capital providers, crafting the projections, scenario analyses, and economic narratives that go in front of prospective partners.

You won't be on the sidelines forecasting — you'll be in the room helping Sales shape deals in real time, pressure-testing assumptions on interchange splits, loss curves, and program economics. You'll be joining a tight-knit deal desk team that shares context, shares wins, and shares the load. The work moves fast, and the team is how we keep up.

We work Flexible First. This role can be performed remotely anywhere within the U.S. or from our local Oakland office. We'd love for you to join us!

The Impact You'll Have

• Serve as the financial partner to Sales on live credit deals — modeling the full economic stack: interchange, finance charges, fees, rewards costs, cost of funds, expected losses, network fees, and sponsor bank revenue share
• Build deal-level models that capture the full life-of-portfolio economics — not just first-year interchange, but how the deal performs as the portfolio matures, revolve rates stabilize, and losses curve in
• Partner with Credit Risk and Capital Markets teams to make sure every deal model reflects realistic loss assumptions, funding costs, and capital efficiency considerations
• Partner with the credit function to build the foundational models for credit product including monthly projections of volumes, receivables, payment rates and loss curves with clearly defined assumptions for each metric and tied to actual industry and internal data, including scenario analyses that support acquiring both new bank partnerships (sponsor banks) and capital providers (warehouse facilities, return-on-capital projections, portfolio performance scenarios)
• Model multi-party revenue share structures across program manager, sponsor bank, processor, and network — and stress-test how the splits behave at different volume and performance tiers
• Lead deal review meetings on credit d