Risk Analyst
Lalamove is hiring a Risk Analyst in Kuala Lumpur, Malaysia. Level rates it ; you can apply on Lalamove.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level lists 142 other open roles at Lalamove.
AI in this role
Our strength lies in our internal values, namely Passion in serving local communities, empowering SMEs and our driver partners, Execution and Grit because that is how we differentiate ourselves by never giving up and striving for excellence, and Humility - awareness in ourselves to learn from others and never stop improving.
At Lalamove, we strongly 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. Our vision is to bring communities closer and make city life easier by allowing fast and convenient circulation of goods. We realize this vision with a ‘glocal’ approach, building a robust operations team to adapt our product to local networks of businesses and delivery contractors. At the same time, we have ambition to build an international brand by establishing an even more global presence.
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
- Mandarin speakers are preferred as this role will be working closely with Hong Kong and China counterparts.
- 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
How we rate this
Risk Analyst at Lalamove rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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