Fraud Data analyst
mid
via Ashby
About this role
We are looking for a Fraud Data Analyst to support fraud detection and risk monitoring across high-scale payment systems. This role focuses on identifying fraud patterns, investigating anomalies, and improving the reliability of payment operations.
You will work with large volumes of transactional data, analyzing fraud signals and supporting the development of detection mechanisms. The role requires a structured, data-driven approach and the ability to respond quickly to emerging risks.
You will collaborate with engineering and payments teams to ensure fraud risks are identified early and mitigated effectively, protecting revenue and maintaining stable relationships with payment providers.
CONTEXT…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlteams