Monitor derivatives and margin risk in real time, detect unusual trading patterns, develop risk models/alerts/tools and dashboards, perform incident root-cause analysis, prepare risk reports, and implement risk policies. Explore AI/automation to enhance monitoring and share market updates.
Binance is a global blockchain and digital asset technology company operating across multiple jurisdictions.
Working Hours: EU Timezone | 5 days per week including some weekends
About The Opportunity: You will join a team of risk & trading professionals, serving as the first line of defense against irregular market movements. The team is responsible to ensure our users and company are well protected by identifying early signs of high risk activities (i.e liquidation events, high volatility periods) . In addition to real-time monitoring, you will also have the opportunity to work on risk alerts/tools enhancements.
Responsibilities
- Monitor and assess key risk areas within derivatives/margin, looking into unusual trading patterns to prevent manipulative trades
- Develop risk models/alerts/tools/dashboards, enhancing the monitoring capabilities
- Conduct daily review, and root cause analysis of the incidents
- Prepare accurate risk reports and findings to relevant team in a timely manner.
- Explore the usage of AI and automation for trading risk monitoring
- Proactively share timely updates on market developments/news and demonstrate deep expertise in market dynamics.
- Implement and maintain risk policies and procedures in alignment with organizational strategy and evolving market conditions to prevent, mitigate, and eliminate risks.
Requirements
- Experience in derivatives risk management or financial markets.
- Willing to work rotating shifts across five days per week, including occasional weekends and public holidays, in accordance with local employment regulations.
- Good understanding of cryptocurrency derivatives markets. Familiarity with DeFi protocols and ecosystems is a plus.
- Background in Mathematics, Quant Finance, Financial Engineering
- Experience using AI, automation, or scripting to improve monitoring workflows is a plus
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