Quant Developer (AI, KDB+, Python)

Job Description:

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, 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
Integration with KDB+ and downstream systems
Experience working with large-scale, high‑frequency, or noisy datasets
Solid software engineering practices (Git, testing, modular design)
Worked with AI developer assist tools (e.g. GitHub Copilot).
Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, 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.

Monitor documentation standards and best practices.

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-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:

Information Technology