Head of Emea Risk Operations

Uber Uber · Consumer · Amsterdam, Netherlands · Operations

Lead Uber's regional fraud strategy and operational execution in EMEA, focusing on deploying and operationalizing AI-enabled tools to detect, investigate, and prevent fraud. This role involves shaping product roadmaps, building systems for proactive risk posture, and navigating complex regulatory environments.

What you'd actually do

  1. Own EMEA Risk outcomes: You will be accountable for regional performance across key P&L-impacting fraud and abuse metrics, including chargebacks, did-not-settle, cash arrears driven by fraud, refunds and appeasements, promotions, incentives, marketplace abuse, and account takeover. You will understand the drivers behind the numbers, make clear trade-offs across lines of business, and ensure the region consistently meets or exceeds its goals.
  2. Lead the EMEA Risk planning cycle end to end: You will translate regional fraud patterns, market needs, and business priorities into a clear Risk Operations roadmap. You will act as the primary regional partner to Product, Engineering, Decision Science, Regional GMs, Country GMs, Legal, Policy, and Operations to ensure EMEA priorities are understood, sequenced, and delivered through the appropriate global technology and operational channels.
  3. Serve as the regional GM for fraud prevention: You will be the senior point of accountability for all things fraud-related in EMEA, bringing together central product teams, regional operations, policy owners, and frontline intelligence to ensure Uber responds quickly and effectively to emerging threats.
  4. Build the next generation of AI-enabled Risk Operations: You will deploy and operationalize AI-enabled tools that improve how the team detects, investigates, and prevents fraud. This includes use cases such as anomaly detection, fraud-ring discovery, real-time MO clustering, case summarization, synthetic identity signals, proactive rule recommendations, and automated prioritization of investigative work.
  5. Shape global Risk technology roadmaps: You will be a critical input into what gets built. You will translate EMEA fraud intelligence into product requirements, influence model and rule priorities, and ensure that global capabilities reflect the realities of highly diverse regional markets.

Skills

Required

  • 10+ years of experience in risk operations, fraud strategy, marketplace risk, payments risk, trust and safety, or scaled operations.
  • Deep understanding of fraud and abuse in complex digital marketplaces, ideally across payments, mobility, delivery, ecommerce, fintech, or platform businesses.
  • Proven ownership of P&L-impacting risk metrics such as chargebacks, payment failures, arrears, refunds and appeasements, promo abuse, incentive fraud, account takeover, or marketplace abuse.
  • Experience operating in or with EMEA markets, with strong appreciation for the region’s regulatory, cultural, payment-meth

What the JD emphasized

  • EMEA requires a leader who can operate across very different market realities
  • highly localized fraud behavior
  • deploying AI-enabled tooling within operations
  • shaping product roadmaps
  • building systems that surface unknown fraud vectors
  • deploy and operationalize AI-enabled tools
  • anomaly detection
  • fraud-ring discovery
  • real-time MO clustering
  • case summarization
  • synthetic identity signals
  • proactive rule recommendations
  • automated prioritization of investigative work
  • Translate EMEA fraud intelligence into product requirements
  • highly diverse regional markets
  • building operating mechanisms that identify new fraud vectors early
  • quantify exposure quickly
  • mobilize the right cross-functional response
  • Navigate EMEA regulatory complexity
  • partner closely with Legal, Policy, Compliance, and regulated entity teams
  • operationally effective and regionally appropriate
  • markets with different expectations around privacy, payments, manual review, consumer protection, and platform accountability

Other signals

  • deploying AI-enabled tooling within operations
  • shaping product roadmaps
  • building systems that surface unknown fraud vectors
  • deploy and operationalize AI-enabled tools
  • anomaly detection
  • fraud-ring discovery
  • real-time MO clustering
  • case summarization
  • synthetic identity signals
  • proactive rule recommendations
  • automated prioritization of investigative work