Posted 8 days ago
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**Principal Software Engineer** Lead design and development of next-gen trading systems. Combine expertise in **KDB, Python, AI/ML**, and **quantitative finance** to drive high-performance, resilient infrastructure. Key responsibilities include: - Optimizing **KDB databases** and **q analytics** for high-volume trading - Developing **Python-based AI and quantitative models** - Applying **machine learning techniques** to time-series data - Building **research and backtesting frameworks** - Collaborating with quants and engineers to deploy and monitor models Required skills: - BS/MS in math, CS, or equivalent; 10+ years in **quantitative finance** or **trading systems** - Advanced proficiency in **KDB/q** and **Python** - Experience with **AI developer assist tools**, **CI/CD** tools, and **AWS** - Strong quantitative mindset; ability to bridge research and production systems
- Compensation
- $107,000 – $216,000 USD
- City
- Not specified
- Country
- Not specified
Currency: $ (USD)
Full Job Description
Job Description:
Quant Developer AI / KDB / Python
The Team
Fidelity Wealths Trade Management Engineering group is responsible for building world-class electronic trading solutions for Fidelitys 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. Youll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.
- Design, develop, and optimize KDB databases and q analytics for highvolume trading and market data
- Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
- Apply machine learning techniques to timeseries 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:
- Bachelors 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:
- Timeseries data modeling
- Highperformance querying and joins
- Realtime and historical analytics
- Strong Python skills for:
- Quantitative analysis
- AI / ML model development
- Integration with KDB and downstream systems
- Experience working with large-scale, highfrequency, 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 frontoffice 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.
Fidelitys Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidates 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 Fidelitys 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:
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Benefits that balance life and work
From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.
Company overview
Company overview
At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experience.
Reasonable accommodations
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 3.
Equal opportunity employer
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Applicant screening
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
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