Brex Fraud Strategy Associate responsible for maintaining the integrity of Brex’s fraud and risk ecosystem. Uses data mining and automation to detect and prevent fraud.
Responsibilities
As a Fraud Strategy Associate, you’ll own the end-to-end integrity of Brex’s fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You’ll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.
Where you'll work
This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Strategic Analysis & Detection
Data Mining: 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.
Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers.
Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors.
Operational Excellence & Process Ownership
Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation.
Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle.
Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms.
Metrics, Reporting & Performance
Qualification
Technical MasteryIndustry ExperienceOperational MindsetCommunicationAdvanced CertificationExperience with Snowflake
Required
Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation.
Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment.
Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout.
Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives.
