Operations Manager, Business Operations (Payments and Risks Analytics)

About the Role

As a part of the Economic Performance team, you will drive our partnership with SME teams on risk/fraud/payments ecosystem in APAC. You will sit at the intersection of data and operations, ensuring our processes are robust, our metrics are accurately reported & optimized and we’re making the most of new opportunities in the commerce space. Your role is critical in identifying financial leakages, managing live incidents, and providing the data-driven insights necessary to scale our cash and payment products safely.

---- What the Candidate Will Do ----

1. Partner with Risk & Fraud ops: Monitor real-time fraud patterns and risk metrics. Identify anomalies and work closely with the Risk Ops team to implement immediate mitigation strategies.
2. Translate Analytics to Imperatives: Act as the primary analytical bridge between Economic Performance and the APAC Ops/Risk Ops teams. Translate operational challenges into data problems and vice versa.
3. Metric Tracking & Reporting: Own the source of truth for Commerce KPIs. Build and maintain automated dashboards that track loss rates, false positives, and payment success rates.
4. Incident Handling: Lead the analytical response during risk or payment incidents. Perform rapid root-cause analysis (RCA) and coordinate with cross-functional teams to resolve issues and prevent recurrence.
5. Payments & Cash Analytics: Power the initiatives that improve our unit economics. Analyze payment costs, success rates, and user behavior to optimize our cash-in/cash-out products.
6. Process Optimization: Identify manual gaps in current risk/ops workflows and design data-driven solutions to automate or streamline them.

---- Basic Qualifications ----

1. Experience: ~4 years of experience in an analytical role, preferably within FinTech, Payments, or Risk teams.
2. Technical Proficiency: Advanced SQL is a must. Proficiency in data visualization tools (Tableau, Looker, or PowerBI) and Excel. Experience with Python/R for data analysis is a plus.
3. Communication: Ability to distill complex analytical findings into crisp, actionable insights for operational stakeholders and leadership.
4. Education: A Bachelor’s or Master’s degree in a quantitative field (Engineering, Economics, Math, or Finance).

---- Preferred Qualifications ----

1. Problem Solving: A high degree of mental agility. You should be comfortable navigating through ambiguity and making data-backed decisions under pressure (especially during incidents).
2. Operational Mindset: You don't just look at data; you understand the human and systemic processes that generate it. You are passionate about execution.
3. Crisis Management: Ability to manage high-pressure situations and exercise strong judgment and clear communication

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.