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Analytics Lead, Card Platform

Affirm

Remote

CAD 142,000 - 192,000

Full time

Today
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Job summary

A financial technology company is seeking an experienced analytics professional to support card expansion initiatives. You will build measurement frameworks, evaluate onboarding processes, and establish metrics tied to product strategy. Applicants should have over 7 years in analytics, with expertise in SQL and Python. The role offers a competitive compensation package including generous health benefits and a remote-first work environment. Strong candidates will showcase their ability to influence across teams and drive product impacts.

Benefits

Health care coverage
Flexible Spending Wallets
Competitive vacation and holiday schedules
Employee stock purchase plan (ESPP)

Qualifications

  • 7+ years in analytics or data science with payments or fintech experience.
  • Fluency in SQL and comfort with Python/R.
  • Experience building analytics for product launches.

Responsibilities

  • Build measurement fabric and launch readiness dashboards.
  • Support RFPs & commercial diligence for card issuance.
  • Evaluate card onboarding and transaction processing flows.
  • Establish metrics frameworks linked to product strategy.

Skills

Analytics
SQL
Python
Data Science
Payments knowledge
Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

With over 5M affirm cards and $10B in annual GMV, affirm cards are the backbone of affirm’s direct to consumer strategy. Unlike traditional debit or credit cards, affirm cards are loan-backed, which means every swipe requires instant precision.

The affirm card platform ensures everything from card issuance and transaction processing to ledgers, disputes, and reconciliations runs smoothly. Our platform powers the affirm card but also select merchant integrations, mobile wallet partnerships and international expansion efforts.

In 2026, we will unlock our next card product growth vector through partnerships with FIS Global and other card issuer processors to bring affirm card’s pay-over-time capabilities into partner bank debit cards.

What you’ll do
  • Build the core measurement fabric for card expansion launches: launch readiness dashboards, KPI definitions, and scenario analyses used to evaluate partner pilots and scale decisions.
  • Support RFPs & commercial diligence for potential card issuance partners.
  • Build opportunity sizings and program investment frameworks that consider opportunity size in light of estimated integration efforts.
  • Evaluate different card onboarding, checkout and transaction processing flows to improve card acceptance, increase customer adoption and drive customer satisfaction.
  • Participate in deep technical design discussions within the team, and across partner teams, to ensure that we’re building the right systems and keeping the quality high.
  • Partner closely with Product and Engineering leadership to establish metrics frameworks, tie results to OKRs, and drive product strategy.
  • Build reliable self-serve dashboards and monitoring for card usage, transaction success, dispute rates, and program economics.
  • Expand affirm acceptance in digital wallets, leading consumer bank apps, international markets and other new checkout modalities.
What we look for
  • 7+ years in analytics or data science (must have experience in cards, payments, fintech, etc). Bonus points for knowledge of the card transaction lifecycle!
  • Fluency in SQL; comfort with Python/R; strong grounding in.
  • Knowledge of payments and lending economics.
  • Experience building analytics for zero-to-one product launches and integrations.
  • Ability to influence executives and engineers alike with clarity and conviction.
  • A bias for action—and a knack for automating away the boring stuff.
Pay Grade

M

Equity Grade

5

Employees new to affirm typically come in at the start of the pay range.

Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

CAN base pay range (CA, WA, NY, NJ, CT) per year: $142,000-192,000

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

Benefits
  • Health care coverage - affirm covers all premiums for all levels of coverage for you and your dependents.
  • Flexible Spending Wallets - generous stipends for spending on technology, food, various lifestyle needs, and family forming expenses.
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge.
  • ESPP - An employee stock purchase plan enabling you to buy shares of affirm at a discount.

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

(For U.S. positions that could be performed in Los Angeles or San Francisco) Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read affirm's global candidate privacy notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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