Risk Analyst

Lalamove; Selangor; On-site; MYR 208,000 - 312,000; Full time

Job summary

Lalamove is seeking an experienced Risk Analyst to support the Risk team in Hong Kong. The role focuses on analytics insights, enabling senior leadership to make data-driven decisions in fraud risk and financial efficiency.

The ideal candidate thrives in a fast-paced logistics and e-commerce environment and brings a consultative mindset and automation mindset. Key responsibilities include identifying risks, partnering with multiple departments, and designing preventative controls to mitigate

Qualifications

• Proven track record of applying analytical/statistical methods to solve real-world problems using data.
• Organized and self-motivated, comfortable operating within ambiguity.
• Strong communication skills to work across multiple departments.

Responsibilities

• 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.

Skills

SQL

Analytical skills

Stakeholder communication

Risk/Fraud domain

Education

BA/BS in Mathematics, Statistics, CS, Finance, Economics

Job description

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