Fraud Strategy Associate

Brex • Seattle, WA

10h • Hybrid

About The Position

The Fraud Strategy Associate owns the end-to-end integrity of Brex’s fraud and risk ecosystem across credit, deposit, and card payment rails. The role identifies fraud patterns and root causes, then develops detection logic, automation, and reporting to reduce fraud while minimizing friction for legitimate customers. The associate partners with Risk, Data Science, Engineering, and Product to embed fraud prevention into Brex’s products and processes.

This role is based in Brex’s Seattle office in a hybrid environment, with a minimum of three coordinated office days per week—Monday, Wednesday, and Thursday—and up to four weeks per year of fully remote work. The expected salary range is $111,197–$138,996. Starting base pay depends on factors including location, skills, experience, market demands, and internal pay parity. Equity and other compensation may be provided depending on the position offered.

Requirements

• At least 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.
• Demonstrated ability to build scalable processes and manage complex projects from data exploration through operational rollout.
• Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives.

Nice To Haves

• Certified Fraud Examiner (CFE) designation.
• Experience with Snowflake, Salesforce, and data visualization platforms such as Hex.
• Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions.
• Experience using AI tools to improve internal operational efficiency.

Responsibilities

• Use SQL and Python to mine large-scale data and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails.
• Design and refine automated detection logic to mitigate risk while maintaining a frictionless experience for legitimate customers.
• Monitor industry trends and regulatory shifts and deploy defensive strategies against new fraud vectors.
• Optimize fraud investigation processes to support operational discipline, case visibility, and high-fidelity documentation.
• Coordinate with Risk Leadership, Analytics, Data Science, Engineering, and Product to integrate fraud-prevention infrastructure into the product lifecycle.
• Define and manage technical requirements for internal AI-driven tools and third-party risk-reduction platforms.
• Define and monitor KPIs, including false positive rates, fraud capture rates, and operational turnaround times.
• Build and maintain scalable reporting suites that provide senior stakeholders with real-time visibility into fraud exposure and program effectiveness.
• Conduct post-mortems on fraud incidents, quantify financial impact, and recommend structural process improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed