Backend Engineer (Risk & Fraud)
Hong Kong, Hong Kong SAR
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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
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