JD.COM
Risk Strategy Program Manager - Marketplace
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Who We Are
Joybuy is JD.com’s dedicated retail platform for Europe, offering products across a wide range of categories. Operating across the UK, Netherlands, Germany, France, Belgium, and Luxembourg, we’re building the future of retail through smart systems, bold ideas, and a customer-first mindset. Backed by JD.com, also known as JINGDONG, and its trusted global technology and supply chain ecosystem, we deliver a shopping experience that is speedy, reliable, and genuinely enjoyable. If you’re ready to make a difference, bring your talent and grow with us. Don’t just buy, Joybuy.
Learn more about who we are and what we do: https://about.joybuy.com/about/
What We Offer
Joining Joybuy means becoming part of a business where people, innovation, and impact work together to shape the future of cross-border e-commerce. You’ll contribute to smart supply chains, efficient logistics, and meaningful projects that drive real customer value. With a competitive salary, great office locations, and a supportive, people-first culture, you’ll have the space to grow your career, learn from talented colleagues, and make a genuine impact in a fast-expanding international business.
About The Team
You’ll be joining the Joybuy team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.
Role Overview
We are looking for a Risk Strategy Program Manager to build and own the foundation of our risk governance and decisioning systems, while designing AI-native capabilities to detect and prevent fraud, abuse, and marketplace integrity risks at scale.
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This role sits at the intersection of risk strategy, system design, data, and AI, and is critical to building a safe, trusted, and scalable platform.
What You Will Do
- Design and own end-to-end risk governance and risk decision systems across fraud, abuse, and marketplace integrity, translating complex risk problems into scalable decision logic and enforcement frameworks
- Build and operate real-time and pre-transaction risk controls, integrating rule-based systems with ML models and AI-driven signals
- Partner with Data Science to convert model outputs into actionable decision policies, including thresholds, rules, and hybrid AI + rule system design
- Optimize live production systems by tuning decision logic and evaluating performance across key metrics such as fraud capture, false positives, precision/recall, and latency impact
- Lead cross-functional execution across Product, Engineering, Data Science, and Operations to ensure successful rollout and continuous improvement of risk systems
- Continuously identify emerging fraud patterns and improve system effectiveness through data-driven and AI-assisted insights
What We’re Looking For
- 5+ years of experience in Risk Strategy, Fraud Prevention, Trust and Safety, Marketplace Risk, or Decision Systems
- Strong understanding of marketplace or platform ecosystems
- Experience designing risk decision systems, rule engines, or enforcement logic
- Familiarity with ML and AI concepts and their application in risk systems
- Strong analytical skills with SQL or BI tools and large-scale data analysis
- Experience working with Product, Engineering, and Data Science teams
- Systems thinking and strong ability to manage trade-offs
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Why This Role
- Build the core risk governance and risk decisions foundation of a growing platform
- Design AI-native decision systems from the ground up
- Directly impact fraud prevention, user trust, and platform integrity at scale
- Work on complex, high-impact problems at the intersection of AI, systems, and real-world risk
Core Skills
Risk Strategy | Decision Systems | Fraud Prevention | AI and ML Signals | Rule Engines | Threshold Optimization | Data Analysis | System Design | Cross-functional Execution | Marketplace Risk
At Joybuy, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.
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