Design and optimize real-time risk control architectures, implement transaction risk assessments, ensure system availability, and stay updated on industry trends.
- Design and optimize the architecture of real-time risk control engines, lead the technology selection and development of core modules, ensuring the system supports millisecond-level response and high concurrency.
- Build a multi-level risk control system to identify risky transactions, dynamically assess user risk levels, and implement mechanisms such as circuit breakers/rate limiting/auto-liquidation to meet the risk control needs of various business lines like spot, contracts, and options.
- Lead major troubleshooting and performance optimization in production environments to ensure high system availability; build end-to-end monitoring systems for real-time alerting on core metrics and performance analysis.
- Stay abreast of industry trends, promote the application of technological achievements, and continuously improve the design of the risk control system.
Requirements
- Bachelor's degree or higher in Computer Science or a related field; 5+ years of backend development experience, including 3+ years developing financial risk control systems (securities, futures, cryptocurrency).
- Proficient in at least one of Go/Java/Python/C++/Scala; skilled in big data ecosystems and rule engines.
- Experience in optimizing high-concurrency risk control systems; has led the design or optimization of core modules (e.g., real-time decision engine) and successfully resolved major production incidents.
- Familiar with business scenarios such as high-leverage trading and derivatives; knowledgeable in risk measurement methods like VaR, stress testing, and scenario analysis, and capable of translating these into implementable technical solutions.
- Proficient in performance bottleneck analysis, capable of improving risk identification accuracy through algorithm optimization; has practical chaos engineering experience, able to design stress testing plans to simulate extreme market conditions.
Nice-To-Have：
- Experience developing core risk control systems at top-tier exchanges or financial institutions.
- Experience developing risk management systems for hedge funds, asset management firms, or quantitative institutions.
- Fluent in English and Chinese.
*Only shortlisted candidates will be contacted.
Top Skills
Big Data Ecosystems
C++
Go
Java
Python
Rule Engines
Scala
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