Principal Business Risk Control

About Us

• Responsible for fund security across all business lines (e.g., wealth management, trading, RWA, and other core products). Build real-time, layered risk control decision strategies based on device fingerprints, behavioral time-series, transaction chains, relationship graphs, and network features.

• Leverage massive transaction data in Hive using SQL and Python to conduct risk case mining and black market attack chain reconstruction. Continuously monitor core metrics: actual loss rate, interception rate, false positive rate; identify strategy gaps and produce thematic analysis reports.

• Design rule-based strategies; manage gray-release traffic allocation, A/B experiment design, and effectiveness evaluation. Drive strategy integration into the real-time decision engine for production launch. Continuously counter black market actors, forming a closed loop of risk identification → intervention → post-mortem → iteration.

• Participate in emergency triage for major online fund security incidents: stop the bleeding, trace the risk source, and implement urgent blocks. Accumulate black market intelligence and gang characteristics to build risk feature libraries and intelligence databases.

• Coordinate with algorithm, product, engineering, compliance, and anti-fraud operations teams. Integrate machine learning models, device fingerprinting, and behavioral sequence capabilities to optimize the decision system. Abstract common risk control capabilities and drive the construction of feature platforms and risk control middle platforms.

• Build scenario-based risk monitoring dashboards, establish anomaly fluctuation early-warning mechanisms, and drive long-term risk governance initiatives.

• Bachelor's degree or above; Statistics, Mathematics, Computer Science, Financial Engineering, or Data Science preferred; Master's degree preferred.
• 3–6 years of hands-on experience in payment / internet fund security / transaction anti-fraud risk control strategy. Experience at Alipay, WeChat Pay, leading consumer finance companies, or bank online payment risk control is preferred.

• Proficient in complex SQL (Hive/MaxCompute); skilled in Python for data mining and feature analysis; able to independently complete risk quantification calculations and experiment evaluation.
• Deep understanding of payment risk scenarios: account takeover (ATO), telecom fraud, money mule/fund running, abnormal batch transactions. Familiar with real-time risk control pipelines, strategy deployment processes, and metrics evaluation frameworks.
• Possesses an adversarial mindset; able to proactively detect emerging black market tactics from massive data. Excels at finding the optimal balance among financial loss, false interceptions, and business conversion.

Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment. 
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.