Drimva

Brex

Fraud Strategy Associate

$111K–$139K

San Francisco, California, United States +5 · Full-time · Posted Oct 21, 2026

Location
San Francisco, California, United States
New York, New York, United States
Salt Lake City, Utah, United States
São Paulo, São Paulo, Brazil
Seattle, Washington, United States
Vancouver, British Columbia, Canada
Experience
3+ years.

About the job

Own fraud detection strategy and operations across credit, deposit, and card payment rails, using data, automation, and cross-functional work to reduce fraud while limiting friction for legitimate customers.

What you'll do

  • Analyze data and use LLM-based tools to identify fraud patterns; design and refine automated detection logic.
  • Improve investigation workflows and partner with Risk, Analytics, Data Science, Engineering, and Product to embed prevention in products.
  • Track fraud KPIs, maintain executive dashboards, and assess incidents to recommend improvements.

What they ask for

  • 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within financial services or a high-growth fintech environment.
  • Capability with SQL and/or Python for data wrangling, statistical modeling, and automation.
  • Proven ability to build scalable processes and manage complex projects from data exploration through operational rollout.
  • Ability to communicate complex analytical findings through clear, executive-level strategic narratives.

Nice to have

  • Certified Fraud Examiner (CFE) designation.
  • Experience with Snowflake, Salesforce, data visualization platforms like Hex, multi-jurisdictional fraud operations, or AI tools for operational efficiency.

Pay

$111,197 - $138,996 USD base salary

Tools

SQL, Python, LLM-based tools, Snowflake, Salesforce, Hex

AI focus

Use LLM-based tools to detect and automate identification of fraudulent patterns; define and manage requirements for internal AI-driven tools; AI tools may also enhance operational efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 5, 2026 (UTC)