Allgemeine Daten | |
Land: | Canada |
Stadt: | unbekannt |
Arbeitgeber: | Affirm |
Berufsfeld: | Data Science & Analytics |
Vertragsart: | Full-Time |
Gehalt: | ab CAD |
Job-Beschreibung | |
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. At Affirm, we’re reinventing how people pay. No hidden fees. No compounding interest. Just flexible, transparent payment options that empower consumers. After leading the Buy Now, Pay Later movement, we’re now transforming everyday payments—and our Card Platform is at the center of it. We power 5M+ Affirm Cards and $10B+ in annual GMV and is the backbone of Affirm’s direct to consumer business. We handle everything from card issuance and transaction processing to ledgers, disputes, and reconciliations. Unlike traditional debit or credit cards, Affirm Cards are loan-backed, which means every swipe requires instant precision.We’re looking for a hands-on analytics leader who can turn messy card-network data into crisp insights and decisions. Your work will directly lift transaction success, improve economics, and expand Affirm acceptance across online and offline checkout experiences. What you’ll do
What we look for
Base Pay Grade – Q #LI-Remote 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. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
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. |
Qualifikation des Bewerbers | |
unbekannt |
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