Senior Risk Control Algorithm Engineer, Crypto

Posted 26 January 2026
Salary HKD120000 - HKD150000 per month
LocationHong Kong
Job type Permanent
Discipline Crypto & Blockchain
ReferenceBH-2689-3

Job description

Senior Risk Control Algorithm Engineer, Crypto 

Location: Hong Kong 
Type: Full-time
Team: Risk / Security / Data Science
Experience: 7+ years overall, 5+ years in risk control / fraud / security modeling

About the Role

We’re looking for a senior-level Risk Control Algorithm Engineer to build and scale risk detection and prevention capabilities for a crypto trading business. You’ll design models and strategies to identify abnormal transactions, protect accounts and funds, and detect market abuse behaviors (e.g., insider trading-style patterns / “rat trading” signals) through large-scale data mining and advanced ML.

What You’ll Do
  • Build risk detection models & strategies: Apply data analysis, machine learning, and deep learning to detect trading, account, and fund-security risks; turn insights into deployable risk control solutions.
  • Own risk control system design: Develop key components such as:
    • abnormal transaction sensing and alerting,
    • time-series anomaly detection,
    • user profiling / risk personas and feature platforms.
  • Detect market abuse patterns: Partner with Risk Strategy, Data, and Engineering to mine behavior signals, identify attack/abuse patterns, and quickly iterate effective countermeasures.
  • Operationalize algorithms: Drive end-to-end delivery from offline research to online deployment, monitoring, and continuous improvement (precision/recall, latency, stability).
  • Cross-functional leadership: Align stakeholders on risk trade-offs, explain model outputs clearly, and improve decisioning quality across the business.
What We’re Looking For
  • Education: Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related fields.
  • Experience:
    • 7+ years overall experience, with 5+ years in risk modeling / fraud detection / security algorithms (preferred).
    • Strong background in data mining, machine learning, and/or data engineering in production environments.
  • Engineering capability: Proficient in Python (or other scripting languages); able to implement, test, and ship algorithms in real systems.
  • Applied AI mindset: Strong curiosity about AI and LLM applications; hands-on experience deploying LLMs for risk control is a plus.
  • Strong problem solving: Structured thinking, solid logic, ability to break down ambiguous problems, and strong learning agility.
  • Execution under pressure: High ownership, fast iteration, able to handle challenging targets and high-stakes incidents.
Preferred Background (Nice to Have)
  • Proven projects in one or more of the following:
    • Account security (ATO, bot defense, identity risk),
    • transaction & fund security (fraud, AML-like typologies, abnormal trading),
    • user profiling for risk/finance/security use cases.
  • Experience from top-tier crypto firms, or large-scale consumer finance / payment ecosystems such as:
    • Ant Group / Alipay,
    • Tencent (WeChat / QQ / Tenpay / WeChat Pay risk & security),
    • ByteDance or other major platforms doing account security / anti-fraud.
  • Leadership experience (mentoring, tech lead, or team management).
What Success Looks Like
  • Meaningful reduction in fraud loss / abnormal trading impact with measurable model performance.
  • Robust online risk pipelines with clear monitoring, explainability, and rapid response capability.
  • Faster detection and disruption of market abuse patterns through data-driven strategies.

Additional Information We regret that only shortlisted candidates will be contacted.

📩 Interested?
If you’re inspired by the challenge of building a world-class crypto brand with global influence, we’d love to hear from you.

Please connect or send your profile directly to jchan@captarpartners.com for a confidential discussion.