Fraud Architect

Stripe

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, ILNew York, NYSouth San Francisco, CA
Salary
$189,400–$284,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $237k
$141k $299k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $177,250–$250,000 — the blue band above. At the midpoint, this role pays about $237k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 140 open roles on FindRole.

Listed pay typically runs $203,600–$285,600 across 137 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Fraud Architect

The Fraud Architect joins the Fraud Architect team to serve as a technical extension for a portfolio of complex users. This role involves owning user prevention strategies, maintaining risk baselines, and translating complex fraud problems into practical decisions. You will investigate scoring, classification, and signal coverage to help users optimize Radar for their specific business models. Key responsibilities include designing user-facing rules, conducting root-cause analysis during incidents, and partnering with product teams to define requirements for model and signal improvements. You must possess deep expertise in payment fraud, account takeover, and subscription abuse. Required skills include SQL proficiency, experience with Python or R for hypothesis testing, and the ability to interpret machine-learning-based risk decisions while balancing fraud prevention against legitimate payment acceptance.

What you'll do

  • Own and maintain the risk baseline, threat models, and prevention plans for a portfolio of strategic users.
  • Investigate scoring, classification, and signal coverage to explain Radar's behavior and recommend actionable next steps.
  • Design, test, and validate user-facing rules and thresholds to balance fraud prevention with legitimate payment acceptance.
  • Analyze payment, account, and behavioral patterns to anticipate and advise on emerging fraud vectors.
  • Conduct weekly risk-health reviews and establish early-warning thresholds to provide proactive coverage for all assigned accounts.
  • Manage user action plans by following recommendations through implementation, verification of effectiveness, and residual risk adjustment.
  • Perform root-cause analysis during incidents and translate findings into implemented prevention plans and product requirements.
  • Build reusable playbooks and investigation tools while training internal teams to recognize common fraud patterns.

What we're looking for

  • 8+ years in a technical role with substantial direct user engagement at a payments, fintech, risk management, or fraud-prevention company.
  • Hands-on experience investigating fraud or abuse and translating findings into effective controls or user guidance.
  • Depth in payment fraud, account takeover, subscription/trial abuse, multi-accounting, dispute management, and network monitoring programs.
  • Technical depth to understand API integrations, trace data flows, and discuss system limitations with engineers.
  • Practical understanding of machine-learning-based risk decisions, rule systems, and the interaction between signals, models, and thresholds.
  • SQL proficiency and experience using Python, R, or similar languages to test hypotheses and evaluate controls.
  • Experience managing multiple user relationships while driving recommendations through implementation and measured results.
  • Experience with Stripe Radar or similar platforms, designing production fraud rules, or building technical advisory functions (preferred).

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