Drimva

Brex

Fraud Strategy Associate

São Paulo, São Paulo, Brazil +5 · Full-time · Posted Oct 20, 2026

Location
São Paulo, São Paulo, Brazil
New York, New York, United States
Salt Lake City, Utah, United States
San Francisco, California, United States
Seattle, Washington, United States
Vancouver, British Columbia, Canada
Experience
3+ years; fraud strategy, risk operations, or data-driven business operations within financial services or a high-growth fintech environment.

About the job

Own fraud detection and prevention across credit, deposit, and card payment products by analyzing data, improving operational workflows, and partnering with teams to integrate risk controls into products.

What you'll do

  • Use SQL, Python, and LLM-based tools to identify fraud patterns and refine automated detection logic.
  • Improve fraud investigation workflows, tools, and cross-functional prevention processes.
  • Manage fraud KPIs, reporting, dashboards, and incident post-mortems.

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.
  • Ability to synthesize complex analytical findings into clear, executive-level strategic narratives.

Nice to have

  • Certified Fraud Examiner (CFE) designation.
  • Experience with Snowflake, Salesforce, Hex, multi-jurisdiction fraud operations, or AI tools for internal operational efficiency.

Tools

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

AI focus

Apply 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 internal operational efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)