Risk Analyst

Lalamove is looking for an experienced Risk Analyst to support our Risk team in Hong Kong. The role entails driving analytics insights and enabling senior leadership to make effective, analytically driven decisions, in particular areas of fraud risk and financial efficiency. The ideal candidate should be passionate about logistics and e-commerce, has a strong analytical and consultative mindset, deep understanding of risk strategy methodology and design, the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling operations through automation.

What you'll do

• Carry out detailed walkthroughs and process mapping to identify significant risks and controls in Lalamove’s systems
• Monitor, review, and communicate the impact to the Risk team of future initiatives, including new products, changes to existing products, and major business initiatives
• Collaborate with internal stakeholders like customer support, marketplace, business development, data science, engineering, payments, and product to launch and monitor fraud prevention controls
• Review the financial impact of fraud incidents, understand root cause, and design preventative controls
• Design, evaluate, test, and implement risk rules to counteract fraud patterns and reduce fraud losses
• Regularly review and analyze the effectiveness of rules and make adjustments or deprecations as needed
• Be intensely data driven in prioritizing and evaluating the results of all work
• Be bold! Develop insights using data and research to create a risk control system that deters fraudulent behavior while providing a positive experience for Lalamove users.

What we seek

• Proficient in SQL
• Proven track record of applying analytical/statistical methods to solve real-world problems using data
• Organized and self-motivated individual, comfortable operating within ambiguity
• Strong communication skills required to operate across multiple departments and stakeholders
• Desire to continually learn, adapt and work in a fun, fast-paced environment

What you’ll need

• 3+ years in Risk/Fraud/Payments focused role
• BA/BS degree in Mathematics, Statistics, Computer Science, Finance, Economics or other quantitative field