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This position was posted on April 19, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

SentiLink Corporation logo

Fraud & Identity Enthusiast

Job Overview

Location

United States

Job Type

Full-time

Category

Data Science

Date Posted

April 19, 2026

Full Job Description

đź“‹ Description

  • • This role is for individuals deeply curious about fraud and identity who want to apply their expertise across product, analytics, operations, or go-to-market functions at a fast-growing fintech leader.
  • • Day-to-day responsibilities vary by assigned function but may include investigating fraud patterns, translating insights into product features, owning fraud performance metrics, partnering with engineering to improve risk systems, designing fraud detection workflows, and working directly with customers to solve fraud challenges.
  • • SentiLink is a trusted innovator in identity verification, serving financial services and expanding into new markets with real-time APIs that have verified hundreds of millions of identities, backed by top-tier investors and recognized by Forbes, TechCrunch, and Congress.
  • • You will join a mission-driven team where your domain expertise in fraud and identity will be matched to high-impact problems, enabling you to grow your impact through ownership, cross-functional collaboration, and continuous learning in a dynamic, mission-aligned environment.

Skills & Technologies

Python
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Remote

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SentiLink Corporation
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About SentiLink Corporation

SentiLink builds real-time identity verification and fraud prevention infrastructure for banks, fintechs, and government agencies. Its API-driven platform uses machine learning and authoritative data sources to spot synthetic identities, stolen identities, and other high-risk applications at account opening. The company also offers compliance tools for KYC, CIP, and CDD mandates. Headquartered in San Francisco and founded in 2017, SentiLink serves major U.S. lenders and card issuers, reducing fraud losses and manual review costs while improving onboarding speed and accuracy.

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