Fp&a Manager, Gtm Finance - Credit Products

Marqeta Marqeta · Fintech · Job Requisition - Premium+/Premium/National · FP&A

FP&A Manager for Credit Products at Marqeta, focusing on financial modeling, deal structuring, profitability analysis, and partnering with Sales, Credit Risk, and Capital Markets. The role involves understanding credit economics, building life-of-loan models, and supporting new partnerships. There's an emphasis on AI curiosity and experimentation for improving deal modeling.

What you'd actually do

  1. 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
  2. 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
  3. Partner with Credit Risk and Capital Markets teams to make sure every deal model reflects realistic loss assumptions, funding costs, and capital efficiency considerations
  4. 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)
  5. 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

Skills

Required

  • Bachelor's degree in a quantitative field (Finance, Accounting, Economics, Engineering, Math)
  • 6-8 years of experience in financial planning and analysis, deal desk, pricing, credit product finance, or a related GTM finance function
  • Meaningful exposure to credit card or lending economics
  • Comfortable across the credit economics stack (interchange, finance charges, rewards funding, loss provisioning, cost of funds)
  • Understanding of vintage curves, charge-off rates, and revolve behavior
  • Strong financial modeling skills
  • Comfortable with ambiguity in numbers
  • Knowledge of credit risk modeling and capital markets concepts
  • Excellent written and verbal communication skills
  • Proactive with a bias toward process improvement
  • Advanced Excel
  • Comfortable across Google Workspace

Nice to have

  • AI-curious and hungry to experiment
  • Experience using AI tools in day-to-day work

What the JD emphasized

  • credit deals are not debit deals
  • modeling them well means understanding life-of-loan economics, vintage performance, capital efficiency, and revenue share splits across multiple parties
  • 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
  • pressure-testing assumptions on interchange splits, loss curves, and program economics
  • modeling the full economic stack: interchange, finance charges, fees, rewards costs, cost of funds, expected losses, network fees, and sponsor bank revenue share
  • capture the full life-of-portfolio economics
  • realistic loss assumptions, funding costs, and capital efficiency considerations
  • build the foundational models for credit product including monthly projections of volumes, receivables, payment rates and loss curves
  • scenario analyses that support acquiring both new bank partnerships (sponsor banks) and capital providers
  • Model multi-party revenue share structures
  • stress-test how the splits behave at different volume and performance tiers
  • translating complex credit economics into clear, actionable recommendations
  • build and continuously sharpen the credit-specific deal desk toolkit
  • pricing benchmarks, loss-curve templates, capital-cost calculators, vintage performance models
  • help Sales speak credibly about credit economics with prospects
  • Stay close to credit product evolution, regulatory developments (Reg Z, CFPB, state usury), and competitive dynamics in the credit issuing space
  • meaningful exposure to credit card or lending economics
  • Comfortable across the credit economics stack
  • understand how interchange, finance charges, rewards funding, loss provisioning, and cost of funds combine into deal-level economics
  • Vintage curves, charge-off rates, and revolve behavior aren't foreign concepts
  • An exceptional partner and team player
  • build trust quickly with Sales, push back without friction, jump in when teammates are slammed, and treat wins as collective rather than individual
  • A genuinely strong financial mind
  • fluent in modeling, comfortable with ambiguity in the numbers
  • know enough about credit risk modeling and capital markets concepts to be a credible partner to those teams
  • Thrive under pressure
  • Credit deals don't wait, and they don't simplify
  • energized by a fast pace, multiple priorities, and the occasional fire drill
  • deliver accurate work even when the clock is loud
  • AI-curious and hungry to experiment
  • use AI tools in your day-to-day work
  • have opinions about what's overhyped and what's actually useful
  • see AI as leverage to do more — not a threat or a checkbox
  • Excellent written and verbal communicator
  • take a messy credit deal structure with five moving parts and turn it into a one-slide answer for an executive
  • Proactive, with a bias toward improving processes rather than tolerating them