Risk Control Algorithm Enginee
About Us
(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us:
Key Responsibilities
- Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction
- Optimize models through feature engineering and A/B testing
- Deploy real-time decision algorithms supporting global business
Minimum Qualifications
- Master's in ML/Stats/CS (exceptional Bachelor's considered)
- 3+ years risk algorithm development
- Proficient in Python/SQL/TensorFlow/PyTorch
- English technical literature proficiency
Preferred Qualifications
- Experience in cross-border anti-fraud/credit scoring
- Publications in top-tier conferences (KDD, ICML)
- Spark MLlib or distributed computing experience
What We Offer
A dynamic and challenging work environment in a leading global e-commerce company.
The opportunity to work with a diverse international team and to make a significant impact on 's global presence.
Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.
is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
- Company
- JD
- Location
- London, UK
- Posted
- Company
- JD
- Location
- London, UK
- Posted