Brex
Fraud Strategy Associate
$95K–$119K
Salt Lake City, Utah, United States +5 · Full-time · Posted Oct 21, 2026
- Location
- Salt Lake City, Utah, United States
New York, New York, United States
San Francisco, California, United States
São Paulo, São Paulo, Brazil
Seattle, Washington, United States
Vancouver, British Columbia, Canada - Experience
- 3+ years in fraud strategy, risk operations, or data-driven business operations within financial services or a high-growth fintech environment.
About the job
Own fraud strategy across credit, deposit, and card payment rails by analyzing data, building detection and reporting, and partnering across teams to prevent fraud while minimizing customer friction.
What you'll do
- Analyze data and use LLM-based tools to identify fraud patterns; design and refine automated detection logic.
- Improve fraud investigation workflows, define requirements for internal and third-party tools, and collaborate on integrating prevention into products.
- Manage fraud KPIs and dashboards, and assess incidents to quantify impact and recommend improvements.
What they ask for
- Capable with SQL and/or Python for data wrangling, statistical modeling, and automation.
- 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within financial services or a high-growth fintech environment.
- Proven ability to build scalable processes and manage complex projects from data exploration through operational rollout.
- Exceptional ability to communicate complex analytical findings as clear, executive-level strategic narratives.
Nice to have
- Certified Fraud Examiner (CFE) designation.
- Experience with Snowflake, Salesforce, Hex or other data visualization platforms; multi-jurisdiction fraud workflows; or AI tools for operational efficiency.
Pay
$95,040 - $118,800 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 support operational efficiency.
Model-written summary · the original posting is authoritative