Principal Software Engineer
AI summary of the role
Lead hands-on technical role in Fidelity Wealth's Trade Management Engineering, designing and building next-generation electronic trading systems.
What you’ll do
- 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
- Build research and backtesting frameworks integrating AI models with historical data
- Integrate AI models into real-time and batch pipelines
What you’ll bring
- 10 years professional experience in quantitative finance or trading systems
- Advanced proficiency in KDB/q including time-series data modeling, high-performance querying and joins, real-time and historical analytics
- Strong Python skills for quantitative analysis, AI/ML model development, and integration with KDB
- Experience with large-scale, high-frequency, or noisy datasets
Technologies
KDB · q · Python · AI/ML · GitHub Copilot · AWS · Java · Linux · Jenkins · Maven
About Fidelity Investments
Privately owned financial services firm offering brokerage, retirement plans, wealth management, and asset management to retail investors, employers, and institutions, with a proprietary tech-build culture.
Private Late · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 [... source excerpt omitted ...] and uDeploy. Hands-on experience in AWS or other cloud platforms. Familiarity with object-oriented programming languages such as Java Experience in Linux, shell scripting, and production support experience The Skills You Bring: A strong quantitative mindset with practical AI application skills Ability to bridge research, machine learning, and production systems Comfort working on front‑office or research-critical infrastructure Clear communicator with quants, traders, and engineers Willingness to support production systems and participate in on-call rotations, including occasional weekend support. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time [... source excerpt omitted ...] ues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leadin
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