Assistant Manager / Senior Analyst, Operational Risk
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Aug 20, 2026. Lalamove scores B on the Alion truth index.
At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities as we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we need your help to get us there!
Reporting to the Senior Manager, Operational Risk, you will be responsible for identifying, analyzing, and mitigating complex fraudulent and criminal activities across our ecosystem. You will leverage data analytics and behavioral intelligence to uncover vulnerabilities, build proactive risk indicators, and advise on proportional controls that safeguard our platform without unnecessarily disrupting supply and demand.
What you’ll do:
Design research method for analyzing platform-wide operational signals, transaction flows, and behavioral data to uncover fraud vectors, account abuse, and system vulnerabilities.
Conduct qualitative and quantitative analysis on complex risk scenarios (e.g., account takeover, promo abuse, collusive ordering, financial crime).
Gather, handle, and evaluate risk intelligence related to anti-narcotics and anti-money laundering (AML).
Monitor risk patterns and trends to design friction-balanced enforcement strategies.
Translate complex data and concepts into easy-to-understand content.
What you'll need:
A recognized Bachelor's degree or above in Data Science, Analytics or Statistics.
At least 5 years of working experience in data preparation, analytics and interpretation.
Strong hands-on proficiency in SQL, Python and quantitative analytics methods.
Proficiency in both English and Chinese (written and spoken).
Prior experience in managing risk intelligence related to narcotics, cybercrime, or money laundering.
Holder of professional certification such as Chartered Statistician (CStat) or its equivalent.
Experience with data visualization tools (e.g. Tableau, PowerBI).
Essential Qualifications:
Preferred Qualifications: