Principal Software Engineer

### Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Quant Developer – AI / KDB / Python

The Team

Fidelity Wealth’s Trade Management Engineering group is responsible for building world-class electronic trading solutions for Fidelity’s Capital Markets division. We are a high-performing, fast-paced technology team working with cutting-edge tools to deliver low-latency, high-throughput trading platforms. Our work spans across internal and external teams to build seamless, end-to-end electronic trading workflows.

The Role

We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You’ll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.

• Design, develop, and optimize KDB databases and q analytics for high‑volume trading and market data
• Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
• Apply machine learning techniques to time‑series data (feature engineering, model training, evaluation)
• Build research and backtesting frameworks integrating AI models with historical data
• Translate quantitative and ML research into robust, production-ready systems
• Integrate AI models into real-time and batch pipelines
• Optimize analytics and model evaluation for performance, stability, and scalability
• Collaborate with quants, product owners, and engineering teams on model deployment and monitoring

The Expertise You Have

• Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
• 10 years professional experience in quantitative finance or trading systems
• Advanced proficiency in **KDB/q*