onsite
Director, Quantitative Research - Systematic Trading Platform - Fidelity
Software Engineer
Lead a high‑performing quant team to design, develop, and deploy systematic trading strategies and analytics platforms using Python, C++, and advanced machine learning techniques.
About the role
Key Responsibilities
- Lead research and development of systematic trading strategies and analytics platforms.
- Coach and mentor a multidisciplinary quant team, fostering innovation and high‑quality code.
- Design and implement robust, low‑latency trading systems in Python and C++.
- Apply advanced statistical modeling and machine learning to enhance predictive accuracy.
- Collaborate with product, engineering, and risk teams to integrate solutions into production.
Requirements
- PhD or Master’s in Quantitative Finance, Statistics, Computer Science, or related field.
- 10+ years of experience in quantitative research, algorithmic trading, or financial engineering.
- Proficiency in Python, C++, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong background in statistical modeling, time‑series analysis, and risk management.
- Excellent communication skills and a proven track record of leading high‑impact projects.
Skills
pythoncmachine learningdata analysis