Backend Engineer (Risk & Fraud)
Hong Kong, Hong Kong SAR
Lalamove
Lalamove is the fastest way to deliver anything in your city. From parcel courier to bulky delivery, Lalamove connects you with thousands of drivers in 1 click.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.
Due to the rapid growth in the volume of our business coverage, Lalamove is now seeking a proactive Risk Engineer to develop robust risk management systems protecting our logistics platform from fraud, operational risks, and abuse. You will design data-driven solutions integrating real-time data pipelines, and advanced APIs. Your work will ensure platform integrity for millions of global delivery transactions.
What you'll do
- Design and implement data pipelines using Kafka for real-time data streaming and processing.
- Develop risk detection systems using Java, Python, Groovy, C++, and R, with a focus on scalability and high availability.
- Develop backend microservices focused on fraud risk using Java and Spring Boot
- Build scalable distributed systems on cloud platforms like AWS
- Build and maintain APIs integrating risk services across Lalamove’s platform components.
- Design and implement real-time fraud monitoring tools with configurable rules and data stream ingestion
- Integrate machine learning models to detect anomalies, assign risk scores, and adapt to emerging fraud patterns
- Collaborate with data scientists to leverage advanced analytics for fraud prevention
- Create data simulation models to predict and mitigate logistics risks (e.g., fraud, operational failures).
- Ensure data quality and integrity through validation rules, monitoring, and governance frameworks.
- Analyze key risk indicators (KRIs) to quantify exposure and drive mitigation strategies.
- Lead technical initiatives, optimize system performance, and ensure 24/7 reliability
- Write clean, tested code and participate in CI/CD processes
What you'll need
- 5+ years of software development experience with strong Java expertise and JVM tuning
- Familiarity with Spring Framework, Hibernate, and databases like MySQL or Oracle
- Knowledge of caching systems (Redis, Memcached) and middleware (Kafka, ELK)
- Experience with REST APIs, message queues, and distributed architectures
- Strong understanding of data modeling, simulation, and pipeline optimization.
- Familiarity with machine learning applications in fraud/risk contexts.
- Solid understanding of distributed systems and concurrency
- Strong problem-solving skills, teamwork, and communication (English required; Mandarin a plus)
- Experience or interest in applying machine learning and data science techniques for fraud detection and prevention
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS CI/CD Data pipelines Data quality Distributed Systems ELK Fraud risk Java Kafka Machine Learning Microservices ML models MySQL Oracle Pipelines Privacy Python R Streaming
Perks/benefits: Career development Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.