Senior Derivatives Risk Control Specialist
Position Overview
Responsible for building the underlying risk framework for the exchange's derivatives product line, covering pricing logic, risk parameter design, and monitoring mechanisms for perpetual contracts, futures contracts, options, and other products, ensuring risk controllability and system stability under extreme market conditions.
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Core Responsibilities
Derivatives Underlying Financial Logic Design
Design perpetual contract funding rate mechanisms, including billing frequency, upper/lower bounds, and premium index calculation logic
Participate in futures contract settlement price methodology design, including TWAP/index source weighting and anti-manipulation mechanisms
Design options product pricing models (Black-Scholes, volatility surface fitting) and assess systemic risk upon introduction
Risk Parameter Design & Iteration
Develop maximum leverage, position limit strategies per instrument, dynamically adjusted based on market depth
Design ADL (Auto-Deleveraging) trigger mechanisms and ranking rules, optimizing user experience and risk isolation effectiveness
Risk Monitoring & Alerts
Design insurance fund utilization rules and replenishment mechanisms
Develop circuit breaker contingency plans and emergency response procedures for extreme market events (flash crashes, liquidity crises)
Monitor abnormal Mark Price deviations from spot index to prevent unreasonable liquidations
Cross-Department Collaboration
Collaborate with product teams to define risk control admission criteria for new derivative listings (token liquidity, market cap, volatility thresholds)
Participate in Market Surveillance to investigate suspected manipulation of liquidations, wash trading, pump-and-dump, and other market violations
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Qualifications
Required
Bachelor's degree or above in Finance, Mathematics, Statistics, Computer Science, or related fields
3+ years of derivatives-related experience, including traditional finance (futures/options market making, risk management) or crypto exchange risk management
Deep understanding of perpetual contract mechanics (funding rate, Mark Price, liquidation logic) and differences from traditional futures
Proficient in Python, capable of independently conducting data analysis, parameter backtesting, and model validation
Solid foundation in probability theory and statistics, understanding of VaR, Expected Shortfall, and other risk measurement methodologies
Preferred
Familiarity with options pricing theory, with experience in volatility smile/surface modeling
Proficiency in SQL / Spark, able to independently query on-chain or exchange internal data