Senior Fraud Lead - Payments Experience

Thomson Reuters is seeking a Senior Fraud Lead to own and scale its enterprise-wide fraud monitoring and risk control program across digital commerce, subscription billing, refunds, and dispute management. This is a high-visibility, strategic-and-hands-on leadership role sitting within the Payment Experience function.

The successful candidate will serve as the primary fraud Subject Matter Expert (SME) for the organization — designing detection models, owning platform configuration, driving governance, and providing executive-ready risk narratives to senior leadership and audit forums. You will be the single accountable owner for fraud strategy and operations across Thomson Reuters' global eStore and billing ecosystem, spanning Stripe (Radar, Disputes), CyberSource (Decision Manager), and emerging payment channels.

This role offers the opportunity to build and mature a newly centralized fraud function from a strong foundation — fraud losses were reduced by 95% in FY2025 — and to shape its next-generation capabilities across a multi-year roadmap aligned to ORC (Operational Risk Committee) mandates.

About the Role:

1. Fraud Risk Strategy & Program Ownership

• Own the end-to-end Fraud Monitoring Strategy across all channels: eStore (DCP and legacy), guest checkout, agent-assisted payments, billing, renewals, refunds, and dispute lifecycle.

• Define and maintain the fraud risk appetite, control objectives, and escalation thresholds in alignment with the Operational Risk Committee (ORC) and Enterprise Risk Management Framework.

• Develop and execute the fraud tooling and capability roadmap, including rule framework enhancements across Stripe and CyberSource, and integration of fraud signals with internal data platforms.

• Proactively identify and respond to emerging fraud typologies including card testing attacks, account takeover (ATO), refund abuse, synthetic identity fraud, and social engineering via agent-assisted flows.

• Design, develop, and optimize fraud detection models using machine learning, behavioral analytics, and anomaly detection techniques.

• Leverage Thomson Reuters CLEAR and Fraud Detect platforms — including public records, device authentication, and identity verification data — to surface patterns indicative of fraud, waste, and abuse.

2. Platform Ownership — Stripe & CyberSource (Hands-On)

Serve as primary platform owner and SME for:

• Stripe Radar — custom rule authoring, adaptive acceptance, blocklists/allowlists, risk signal configuration, and rule tuning

• Stripe Disputes & Chargeback tooling — workflow configuration, evidence management, response SLA monitoring

• CyberSource Decision Manager — risk profiles, rule logic, and decision flow optimization

Design and tune advanced fraud controls including:

• Velocity and burst detection

• BIN / issuer-country and geo mismatch controls

• Device and IP reputation strategies

• Refund and dispute abuse detection

• New account and new card spend threshold controls (72-hour risk windows)

Partner with Product and Engineering to implement:

• 3DS / EMV 3DS routing strategies across DCP eStore channels, aligned to Visa Secure, Mastercard Identity Check, and AMEX SafeKey standards

• Risk scoring thresholds that balance authorization approval rates with fraud loss objectives

• Usage caps and automated alert workflows for new account onboarding risk

3. Fraud Monitoring, Investigations & Incident Response

• Oversee ongoing fraud monitoring operations across all channels: DCP/eStores, Agent-Assisted Guest Pay, Billing/Collections (Pay-by-Link), and subscription billing.

• Lead investigation of high-severity fraud incidents including root cause analysis, containment, and control remediation.

• Own and operate the fraud incident lifecycle: Detection → Containment → Remediation → Post-Incident Review.

• Act as the escalation point for Security, Legal, Compliance, and Finance for major fraud events exceeding ORC escalation thresholds (e.g., financial impact >$1M, systemic control failure, significant reputational exposure).

• Drive structural fixes from RCAs — not one-off remediations — ensuring findings translate into durable control enhancements propagated across gateways.

4. Data, Analytics & Executive Reporting

• Own enterprise fraud analytics and reporting, leveraging:

  • SQL for deep transaction-level analysis, anomaly detection, and investigation support (Snowflake environment)

  • Power BI / Power Automate for executive dashboards, automated refresh, and real-time alerts

• Define, track, and present KPIs including:

  • Fraud loss rates by channel (DCP vs. Billing vs. Agent-Assisted) and entry point (guest vs. authenticated)

  • Authorization approval rates, chargeback ratios, and dispute trends

  • Rule effectiveness, false positive rates, and customer friction indicators

  • New account risk scores and velocity anomalies

• Deliver clear, executive-ready risk narratives and recommendations for ORC governance forums, internal audit, and senior leadership reviews.

• Lead development of the Fraud Loss Data Baseline by channel — a foundational input for investment and headcount decisions.

5. Governance, Controls & Audit Readiness

• Own fraud-related control design, documentation, and evidence standards, ensuring alignment with the ORC Terms of Reference and Enterprise Risk Management Framework.

• Maintain audit-ready artifacts including:

  • SOPs, control narratives, and RACI matrices

  • Access reviews, rule change logs, and monitoring evidence

  • Gateway-level fraud control documentation aligned to the Payment Gateway Minimum Control Standard

• Serve as the primary point of contact for internal audit, SOX/ORC testing, and regulatory inquiries.

• Coordinate with the Third-Party Fraud Working Group (TPWG) — the formal governance forum for cross-functional fraud and risk control gaps — ensuring systemic issues are logged in Protect/Protecht with owners and target dates.

• Ensure fraud controls align with broader payments, reconciliation, PCI-DSS, and financial risk frameworks.

6. Leadership, Stakeholder Management & Capability Building

• Lead, mentor, and build capability in fraud analysts and specialists (direct and matrixed).

• Define standards, workflows, and documentation practices for fraud investigations, model governance, and rule change management.

• Partner closely with Payments Product & Engineering, Billing, Cash Applications, Finance, KYC, and Security & Compliance teams.

• Drive the roadmap for a centralized escalation and ticketing platform (e.g., ServiceNow) to unify fraud case handling across Fraud Monitoring, Cash Apps, Collections, and Customer Support.

• Influence roadmap decisions with data-driven risk insights and formal ORC-aligned asks.

• Drive continuous improvement through automation, analytics, and AI-enabled detection.

About You:

Required

• Deep, hands-on experience with:

  • Stripe — Radar custom rules, Adaptive Acceptance, Disputes, Chargeback workflows

  • CyberSource Decision Manager — fraud rule configuration, risk profile management

  • Advanced SQL for large-scale transactional analysis (Snowflake or equivalent)

  • Power BI / Tableau and Power Automate for dashboard development and automated reporting

• Expert knowledge of:

  • Card payment lifecycle: authorization, capture, settlement, refunds, disputes

  • 3DS / EMV 3DS, SCA concepts, and issuer routing strategies

  • Fraud typologies: card testing, ATO, friendly fraud, refund abuse, synthetic identity, social engineering

  • Guest checkout fraud risk across DCP, agent-assisted, billing, and collections channels

  • KYC frameworks, identity verification, and risk-based customer due diligence

• Strong understanding of fraud metadata signals: device fingerprinting, IP risk scoring, BIN intelligence, behavioral velocity, and session analytics

• Familiarity with governance frameworks including RACI design, control documentation, audit evidence standards, and ORC/ERC reporting.

Preferred

• Experience integrating fraud signals with internal data platforms (Snowflake, Splunk, event telemetry)

• Exposure to automation, AI/ML-assisted fraud detection, or vendor proof-of-concept evaluations

• Familiarity with ServiceNow or equivalent tools for fraud incident and case management

• Knowledge of PCI-DSS compliance requirements as they apply to payment gateway controls

• Experience with Thomson Reuters CLEAR, Fraud Detect, or comparable identity and public records platforms

Qualifications

• Bachelor's degree in Engineering, Computer Science, Analytics, Finance, or a related field

• 12+ years of progressive experience in fraud risk, payments risk, or financial crime management

• Proven track record of leading or scaling fraud programs in high-volume digital payment environments

• Experience in a SaaS or technology company with data-driven fraud prevention products

• Demonstrated ability to operate in both strategic and deeply hands-on capacities

• Experience presenting to senior leadership, governance committees, and internal/external audit forums

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What’s in it For You?

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