Quidax is the simplest and most secure way to buy and sell bitcoin, ethereum, ripple and other altcoins.
About the Role
- 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.
What You’ll Be Owning
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.
Who We’re Looking For
- 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.
You’ll Work With
- 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.
Method of Application
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