Data Analyst (Risk & Operations Analytics)

PDR Insurance Agency, LLC; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

PDR Group is seeking a data analyst in Singapore to drive data-led strategies across platform risk, anti-fraud and growing logistics operations. You will detect fraud patterns, optimize driver-freight matching, and work with cross-border teams in Singapore and China HQ to translate data insights into actionable plans.

The role requires 2+ years in data analysis, strong SQL and Python skills, and experience with big data platforms.

Qualifications

• 2+ years of hands-on data analysis experience in Internet Platforms, Logistics, E-commerce, or Fintech/Payments.
• Strong SQL and Python skills for data manipulation and statistical modeling.
• Experience with Big Data platforms (Hive, Spark, MaxCompute).
• Understanding of experimental design and A/B testing.

Responsibilities

• Risk & Anti-Fraud Analysis: Uncover suspicious patterns across transactional data, promo misuse, and organized fraud syndicates.
• Logistics & Business Strategy: Optimize freight supply, capacity efficiency, driver matching, and dynamic pricing.
• Metrics & Monitoring: Build dashboards, metrics trees, and automated monitoring across regional markets.
• Experimentation & Causal Inference: Design and evaluate A/B tests and phased rollouts for risk, product, and operational features.
• Cross-Border Collaboration: Translate complex data insights into actionable strategies with China HQ teams.

Skills

SQL

Python

Statistical modeling

A/B testing

Business acumen

Tools

Hive

Spark

MaxCompute

Job description

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.

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