Automated Trading Quant – Cross-Asset Engineer

Openkrill; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Job summary

QuantPilot is hiring a Trader to join the product team full‑time. This hands‑on role requires running systematic, automated strategies across crypto, futures, stocks, FX, and other markets, and collaborating with engineers and designers to push the platform further.

You will research, backtest, and stress-test strategies, optimize risk and sizing, and analyze performance to understand why edges hold up or fail under different conditions.

Qualifications

• You run automated strategies across markets.
• You have built bots, scripts or systematic setups for use across many markets.
• You backtest rigorously before deploying. Overfitting, survivorship bias, look-ahead bias, regime change.
• Risk management is built into your systems. Position sizing, stop losses, drawdown limits, exposure caps.

Responsibilities

• Research and build automated trading strategies using QuantPilot across crypto, futures, stocks, FX, commodities, etc.
• Backtest strategies across multiple timeframes and market conditions using QuantPilot to find edges that hold up.
• Optimize strategy parameters, risk rules, position sizing and entry/exit logic
• Analyze live and historical performance data in QuantPilot to understand why strategies win or lose.
• Stress-test strategies against drawdowns, volatility spikes, low liquidity and black swan scenarios.
• Work with product and engineering daily to identify gaps in the QuantPilot platform, suggest improvements, and validate new features from a trader's perspective.

Skills

Automated trading

Backtesting

Strategy development

Risk management

Trading platforms

Platform APIs

Execution tools

Cross-market experience

Tools

Trading platforms

APIs

Job description

QuantPilot is hiring a Trader to join the product team full‑time. This hands‑on role requires running systematic, automated strategies across crypto, futures, stocks, FX, and other markets, and collaborating with engineers and designers to push the platform further.

You will research, backtest, and stress-test strategies, optimize risk and sizing, and analyze performance to understand why edges hold up or fail under different conditions.