The opportunity
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to…
What you'll do
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.
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.
What they're looking for
- 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.
