Fraud Strategy Associate

Brex•Salt Lake, UT

15h•Hybrid

About The Position

Brex is hiring a Fraud Strategy Associate to own the end-to-end integrity of its fraud and risk ecosystem across credit, deposit, and card payment rails. The role involves identifying patterns and root causes, then building detection logic, automations, and reporting to prevent fraud while minimizing friction for legitimate customers. The associate will partner with Risk, Data Science, Engineering, and Product teams to embed fraud prevention into Brex products. This role is based in Brex’s Salt Lake City office in a hybrid environment. Employees are required to work in the office at least three coordinated days per week—Monday, Wednesday, and Thursday—and may work fully remotely for up to four weeks per year.

Requirements

At least 3 years of experience in fraud strategy, risk operations, or data-driven business operations in 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.
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 identify and automate detection 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 emerging fraud vectors.
Optimize fraud investigation workflows to improve operational discipline, case visibility, and documentation quality.
Coordinate with Risk Leadership, Analytics, Data Science, Engineering, and Product teams 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 and executive dashboards that provide visibility into fraud exposure and program effectiveness.
Conduct post-mortems on fraud incidents, quantify financial impact, and recommend structural process improvements.