Data Analyst (Risk & Operations Analytics)

About the Role

Are you a data storyteller who thrives at the intersection of platform risk, anti-fraud and logistics operations

Our client is expanding their core analytics team in Singapore. They are looking for a sharp, commercially-minded Data Analyst to drive data-led strategies across two critical business pillars: Platform Risk Control / Anti-Fraud and their rapidly growing logistics operations.

In this role, you will work directly on high-impact problems - detecting fraud patterns, optimizing driver-freight matching, and collaborating closely with our cross-border tech, product and algorithm teams in Singapore and the China HQ.

What You Will Do

• Risk & Anti-Fraud Analysis: Uncover suspicious patterns across transactional data, promo misuse, and organized fraud syndicates. Evaluate risk policies to balance user experience, interception rates, and loss mitigation.
• Logistics & Business Strategy: Dive deep into heavy-truck transport metrics (freight supply, capacity efficiency, driver matching, and dynamic pricing) to optimize fulfillment and drive business growth.
• Metrics & Monitoring: Build and maintain scalable dashboards, metrics trees, and automated monitoring systems to detect operational anomalies across multiple regional markets.
• Experimentation & Causal Inference: Design and evaluate A/B tests and phased rollouts for risk, product, and operational features to measure real financial impact.
• Cross-Border Collaboration: Translate complex data insights into actionable strategies alongside product, tech, and algorithm teams - including frequent collaboration with their China HQ teams.

What We Are Looking For

• Language: Fluent in written and spoken Mandarin (Required to collaborate daily with China HQ teams and read Chinese system documentation/code).
• Experience: 2+ years of hands-on data analysis experience in Internet Platforms, Logistics, E-commerce, or Fintech/Payments.
• Strong expertise in SQL and Python for data manipulation and statistical modeling.
• Familiarity with Big Data platforms (e.g., Hive, Spark, MaxCompute).
• Good understanding of statistical methods, A/B test design, and experimental frameworks.
• Sharp business acumen with a natural curiosity for digging into anomalous behavior and complex supply/demand dynamics.

By applying to this job advertisement or responding to our messages, you acknowledge and consent to being contacted by PDR Group and its representatives through various communication channels (including but not limited to phone calls, emails, text messages, and messaging platforms such as WhatsApp or LinkedIn) regarding current and future job opportunities.

You may withdraw your consent at any time by notifying us in writing.

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