Quantitative Trader, Futures at Quidax

• As the Quantitative Trader for our Futures Product, you will design, implement, and optimize models and strategies that power our high-leverage trading ecosystem. You will lead quantitative research, market risk modeling, and trading execution for perpetual futures—driving profitability, liquidity, and risk resilience.
• This role is critical to the successful launch and scaling of our Derivatives trading revenue line, directly supporting our WIG of increasing average monthly revenue from $211k to $400k by Dec 2025.

Quantitative Modeling & Analytics

• Design, test, and maintain pricing, liquidation, P&L for futures and leveraged products.
• Build volatility and liquidation models using real-time and historical data.
• Backtest trading strategies across varied market conditions.
• Analyze trader behavior to detect manipulation, aggressive leverage, or systemic risk.

Risk Monitoring & Management

• Develop and maintain real-time margin risk alerts and liquidation simulations.
• Monitor funding rates, index price divergence, and open interest concentrations.
• Run stress tests for extreme market events.

Trading & Execution

• Deploy and manage proprietary and market-making strategies to achieve target volumes, spreads, and profitability.
• Scale trading volumes, expand pairs, and maximize revenue contribution to WIG.
• Required Notional Volume: $236.25M/month notional volume (~$7.88M/day)
• Maintain order book depth of $500k with 0.2% spread during active hours.
• Maintain 60% profitable trades for proprietary/market-making activity.
• Generate $47k/month net revenue from Futures.

Data & Infrastructure

• Work with Data Engineers to build data pipelines and dashboards for rapid analysis and alerts.
• Integrate APIs from major exchanges for live market data and risk monitoring.
• Automate execution and monitoring to minimize manual intervention.

• 3–6+ years in quant finance/trading with focus on derivatives or margin products.
• Expert in Python (pandas, numpy, scipy, matplotlib) and SQL.
• Deep understanding of futures/perpetual swap mechanics, leverage, and funding.
• Proven experience in VAR, CVAR, Sharpe, and drawdown analysis.
• Strong backtesting and time-series analysis skills.
• Ability to act decisively during high-volatility events.
• Experience with real-time trading or risk alert systems.
• Familiarity with major exchange APIs.
• Exposure to on-chain analytics and wallet behavior profiling.
• Prior work on quant dashboards or risk monitors.

• Market Operations
   to design or refine pricing models, execute algorithms, and hedging strategies that the trading desk uses in real-time. Provide statistical insights and backtesting for market-making strategies.
• Product 
  to define risk limits, margin logic, and funding mechanisms.
• Engineering
   to implement data pipelines and real-time risk monitoring.
• Compliance
   to surface suspicious trading activity and fulfill regulatory triggers.