Senior Data Engineer

As the Senior Data Engineer, you will play a pivotal role in building the future of safety risk

management at Keeta.

Job Responsibilities:

• Lead data analysis and modeling for platform risk scenarios
• Conduct risk identification, classification, and early-warning analysis across rider/driver/courier, merchant, and customer segments.
• Perform bottom-up data discovery and metric construction
• Conduct in-depth EDA using raw mobility/delivery platform data (orders, location traces, incentives, behavioral logs).
• Build standardized risk metrics, operational metrics, behavior features, and monitoring indicators from the ground up.
• Apply top-down business perspective to drive strategy and execution
• Work closely with product, operations, policy, and risk teams to translate high-level business goals into measurable and actionable metrics.
• Drive 0→1 metric system design for new markets or new products, and evolve metrics for rapid growth and later-stage refinement.
• Develop dashboards and risk monitoring systems
• Build and maintain BI dashboards to monitor key risk, quality, safety, and operational metrics.
• Detect anomalies, conduct root-cause analysis, and support incident response and post-mortem reviews.
• Support cross-functional decision making and risk strategy design
• Provide data-driven insights to support risk mitigation strategies, counter-measure design, operational policy updates, and business optimization.
• Evaluate the impact of policy or product changes, and create closed-loop measurement frameworks.

Job Requirements:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Information Systems, Operations Research, Data Science, or related fields.

Technical Skills

• Proficient in SQL and Python/R for data processing, modeling, and analysis.
• Solid knowledge of machine learning methods (logistic regression, decision trees, anomaly detection, clustering) is preferred.
• Strong ability to understand raw data structures and build robust metric definitions.
• Risk Experience (Core Requirement)
• Experience in risk analytics, trust & safety, fraud detection, operational risk, or platform governance—preferably in mobility, delivery, or other two-sided marketplace industries.
• Familiar with risk assessment lifecycle: identification → quantification → monitoring → mitigation.
• Bottom-Up Analytical Capability
• Ability to investigate raw data (orders, trajectory data, incentives, cancellations, GPS signals, courier/driver behavior) and derive structured metrics and actionable insights.
• Top-Down Business and Strategy Thinking
• Ability to understand business models such as supply-demand balancing, delivery SLA, driver/courier incentives, merchant performance, and safety/quality frameworks.
• Proven experience in designing and scaling 0→1→N metric systems supporting business objectives.
• Project Experience (strong preferred but not necessary)
• Experience supporting new market entry, new product launches, or rapid-scale operations is highly preferred.
• Demonstrated ability to independently drive cross-functional initiatives to completion.

Soft Skills

• Strong analytical reasoning, structured communication, and data storytelling abilities.
• Ability to convert complex analysis into clear, practical recommendations for business stakeholders.
• Proactive, ownership-driven mindset with high attention to detail.