<h3>The Company</h3><p>Our client is a financial technology (FinTech) company specifically focused on bridging the gap between man and machine when it comes to investing. They are building an AI-driven trading and investing platform covering stocks, futures, forex, and crypto. They develop quantitative strategies, portfolio models, copy trading solutions, and low-latency execution systems.</p><p>Our client aims to be the world's most trusted AI trading platform where sophisticated market intelligence meets effortless execution, enabling every trader to compete with institutional-level strategies while maintaining full control over their investment decisions. </p><h3>The Role</h3><p>Our client is seeking a Senior Quantitative Developer to design, build, test, and deploy systematic trading strategies. The ideal candidate combines strong software engineering skills with quantitative finance and algorithmic trading experience.</p><h3>Key Responsibilities</h3><ul> <li>Develop and maintain quantitative trading strategies.</li> <li>Build backtesting, optimization, and portfolio construction frameworks.</li> <li>Implement walk-forward analysis, Monte Carlo testing, and robustness validation.</li> <li>Work with market data including equities, futures, forex, and crypto.</li> <li>Integrate machine learning models into trading workflows.</li> <li>Collaborate with Java execution and platform engineering teams.</li> <li>Deploy research into production trading environments.</li> <li>Monitor strategy performance and improve risk-adjusted returns.</li> </ul><h3>Success Metrics</h3><ul> <li>Build 100+ validated strategy candidates annually.</li> <li>Develop production-grade research infrastructure.</li> <li>Improve portfolio Sharpe ratio and reduce drawdowns.</li> <li>Create scalable AI-driven trading models.</li> </ul><h3>Requirements</h3><ul> <li>5+ years Python development experience.</li> <li>Strong knowledge of Pandas, Polars, NumPy.</li> <li>Experience with VectorBT, Backtrader, or QuantConnect LEAN.</li> <li>Strong statistics and quantitative finance knowledge.</li> <li>Portfolio optimization and risk management experience.</li> <li>Experience with futures, forex, equities, or crypto trading.</li> <li>Knowledge of PostgreSQL, TimescaleDB, and cloud environments.</li> <li>Git, Docker, CI/CD experience.</li> </ul><h3>Preferred Skills</h3><ul> <li>Machine learning (XGBoost, LightGBM, PyTorch).</li> <li>FIX protocol knowledge.</li> <li>Interactive Brokers, Alpaca, or LMAX integrations.</li> <li>Java or C++ exposure.</li> <li>Experience with institutional trading systems.</li> </ul><h3>Benefits</h3><ul> <li>Competitive salary.</li> <li>Performance bonus.</li> <li>Stock options/equity consideration.</li> <li>Opportunity to work on a global AI trading platform.</li> </ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>