Senior Regional Operations Manager, Risk – EMEA

About the Role

We are looking for a Senior Regional Operations Manager who will assess, manage, and minimize fraud—including financial fraud and marketplace risk—across EMEA.

This is a critical role for the business, offering the opportunity to manage fraud across multiple Lines of Business. It is an operations-driven role that requires a combination of data analytics, creative problem-solving, attention to detail, and strong interpersonal skills to guide teams and take fraud management to the next level.

This is a challenging role in a high-growth environment. The successful candidate will work closely with Risk teams across EMEA, as well as headquarters-based Engineering, Product, and Data Science teams. This role will contribute significantly to the sustainable growth of Uber’s business.

What You’ll Do

Focus - Develop strategies and solutions to reduce Financial Fraud, Chargebacks, Cash Arrears, Refunds and Appeasements, Promo Abuse, Did Not Settle transactions, and other forms of financial and marketplace risk.

Develop and Optimize Processes - Develop and implement new risk-mitigation solutions and frameworks that improve our ability to detect, measure, and intervene against fraudulent activity. This includes improving operational processes, automated systems, and upstream product-design solutions.

Analytics - Analyze large and complex datasets using SQL or Python to review earner, spender, and merchant fraud-related metrics, detect emerging fraud patterns, and help ensure high-quality experiences across the Uber ecosystem.

Strategy - Determine which projects and initiatives the team should prioritize and establish clear timelines to achieve goals efficiently.

Product Improvement - Evaluate the risk potential of new product features and business lines and inform decision-making during the design and rollout stages.

What You’ll Need

Experience using SQL and writing intermediary level queries. Strong problem-solving skills, including the ability to solve issues involving people and processes by using logic, sound judgment, and data.

Ability to identify the root cause of a problem rather than focusing only on its symptoms.

Five or more years of high-performing work experience in Risk, Online Retail, startups, strategy, operations, analytics, business development, or another relevant specialty role, with demonstrated ability in quantitative fields.

Ability to independently drive analysis, develop conclusions, and present recommendations to a range of stakeholders.

Ability to understand the implications of business decisions and their impact on financial performance, particularly regarding risk and fraud.

Strong written and verbal communication skills, with the ability to clearly explain complex work and participate in constructive debate.

Strong stakeholder-management skills.

Experience using AI and generative AI tools to support data analysis, fraud investigations, process optimization, and operational decision-making, with the ability to validate outputs and apply appropriate judgment.

Preferred Qualifications

Experience in quantitative data analysis, developing deep actionable insights, modeling, and advanced test-plan design and analysis.

Ability to take initiative in a constantly changing work environment while maintaining flexibility and a collaborative attitude.

Experience creating and optimizing operational processes.

An MBA or a quantitative bachelor’s degree in engineering, mathematics, finance, economics, physics, or a related field.

Previous experience leading, coaching, or managing a team is required. We're looking for someone who can develop others, foster collaboration, drive accountability, and create an environment where teams can perform at their best while navigating a fast-paced and evolving business

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.