Role overview
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, is a leading supply chain-based technology and service provider. The company’s cutting-edge retail infrastructure seeks to enable consumers to buy whatever they want, whenever and wherever they want it. The company has opened its technology and infrastructure to partners, brands and other sectors, as part of its "Retail as a Service" offering to help drive productivity and innovation across a range of industries. JD.com’s business has expanded across retail, technology, logistics, health, industrials, property development and international business. JD.com is ranked 44th on the Fortune Global 500 list and is China’s largest retailer by revenue, serving over 600 million annual active customers. The company has been listed on NASDAQ since 2014, and on the Hong Kong Stock Exchange since 2020. Committed to the principles of customer first, innovation, dedication, ownership, gratitude, and integrity, the company's mission is to make lives better through technology, striving to be the most trusted company in the world.
What you'll work on
- Develop machine learning (ML) models for fraud detection and risk prediction.
- Conduct feature engineering, data analysis, and A/B testing to improve model performance.
- Deploy real-time decision algorithms supporting global business operations.
- Build and maintain real-time risk decision engines and monitoring pipelines to detect and respond to emerging threats.
- Collaborate with cross-functional teams to integrate ML-driven solutions into production.
- Explore new algorithms and technologies to strengthen global risk control capabilities.
What we're looking for
- Experience in e-commerce or fintech risk management (e.g., cross-border fraud, credit scoring).
- Experience with UK and European business environments.