Sr. Business Operations Manager, APAC

• *About the Role**

As a part of the Economic Performance team, you will drive our partnership with SME teams on the 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**

• 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.
• 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.
• 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.
• 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.
• Payments \& Cash Analytics: Power the initiatives that improve our unit economics. Analyze payment costs, success rates, and user behaviour to optimize our cash\-in/cash\-out products.

Process Optimization: Identify manual gaps in current risk/ops workflows and design data\-driven solutions to automate or streamline them.

• *What the Candidate Will Need**

• Minimum 4 years of experience in an analytical role, preferably within FinTech, Payments, or Risk teams. A Bachelor's or Master's degree in a quantitative field (Engineering, Economics, Math, or Finance).
• Advanced SQL is a must. Proficiency in data visualization tools (Tableau, Looker, or Power BI) and Excel. Experience with Python/R for data analysis is a plus.
• Ability to distill complex analytical findings into crisp, actionable insights for operational stakeholders and leadership.
• A high degree of mental agility. You should be comfortable navigating through ambiguity and making data\-backed decisions under pressure (especially during incidents).
• You don't just look at data; you understand the human and systemic processes that generate it. You are passionate about execution.
• Ability to manage high\-pressure situations and exercise strong judgment and clear communication.