Fraud Strategy Associate

Brex

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$111,197–$138,996 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $125k
$101k $210k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $142,500–$195,769 — the blue band above. At the midpoint, this role pays about $125k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Brex

Brex is a financial technology company providing corporate credit cards, cash management accounts, and expense management software designed specifically for startups and growing technology companies. Industry: Financial Technology & Corporate Banking

Brex currently has 83 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 79 roles with salary data.

Most-posted roles

View all roles at Brex

At a glance

TL;DR · Fraud Strategy Associate

The Fraud Strategy Associate joins the Operations team to own the end-to-end integrity of the fraud and risk ecosystem across credit, deposit, and card payment rails. This role involves finding patterns, tracing root causes, and building detection logic, automations, and reporting to mitigate risk without creating customer friction. You will mine large-scale data using SQL and Python, apply LLM-based tools to identify fraudulent patterns, and design automated detection logic. Key responsibilities include optimizing internal investigation workflows, managing KPIs like false positive rates, and building executive dashboards. You will collaborate with Risk, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. The role requires managing technical requirements for AI-driven tools and third-party risk-reduction platforms to solve complex fraud vectors.

What you'll do

  • Mine large-scale data using SQL and Python to identify fraudulent patterns across credit, deposit, and card payment rails.
  • Design and refine automated detection logic to mitigate risk while maintaining a frictionless experience for customers.
  • Monitor industry trends and regulatory shifts to deploy defensive strategies against novel fraud vectors.
  • Optimize internal processes for fraud investigations to ensure operational discipline and high-fidelity documentation.
  • Partner with Risk, 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.
  • Monitor KPIs such as false positive rates and fraud capture rates to measure program effectiveness.
  • Build and maintain scalable reporting suites and executive dashboards to provide real-time visibility into fraud exposure.

What we're looking for

  • 3+ years of experience in fraud strategy, risk operations, or data-driven business operations in financial services or high-growth fintech.
  • Proficiency in 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 to operational rollout.
  • Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives.
  • Certified Fraud Examiner (CFE) designation (preferred).
  • Experience with Snowflake, Salesforce, and data visualization platforms like Hex (preferred).
  • Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions (preferred).
  • Experience utilizing AI tools to enhance internal operational efficiency (preferred).

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