1 day ago
Jersey City, NJ, USAStaff+
Base Salary
$107k - $216k/yr
Responsibilities
- 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, including feature engineering, model training, and evaluation.
- Build research and backtesting frameworks integrating AI models with historical data.
- Translate quantitative and machine-learning research into robust, production-ready systems.
- Integrate AI models into real-time and batch pipelines and optimize model evaluation for performance, stability, and scalability.
- Collaborate with quants, product owners, and engineering teams on model deployment and monitoring.
- Mentor engineers, drive technical innovation, support production systems, and participate in on-call rotations including occasional weekend support.
Requirements
- Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
- 10 years of professional experience in quantitative finance or trading systems.
- Advanced proficiency with KDB/q, including time-series data modeling, high-performance querying and joins, and real-time and historical analytics.
- Strong Python skills for quantitative analysis, AI/ML model development, and integration with KDB and downstream systems.
- Experience with large-scale, high-frequency, or noisy datasets and strong software engineering practices including Git, testing, and modular design.
- Experience with AI developer-assistance tools such as GitHub Copilot.
- Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
- Hands-on experience with AWS or other cloud platforms.
- Familiarity with object-oriented programming languages such as Java.
- Experience with Linux, shell scripting, and production support.
- Strong quantitative application skills, communication with quants, traders, and engineers, and comfort supporting front-office or research-critical infrastructure.
Benefits
- Full-time onsite working model is being phased in across regions and roles, with current expectations varying by role and location; the transition does not apply to fully remote roles.
- Comprehensive health care coverage and emotional well-being support.
- Market-leading retirement benefits, generous paid time off, and parental leave.
- Charitable giving employee match program.
- Educational assistance including student loan repayment, tuition reimbursement, and learning resources.
- Bonus or other variable compensation may be included depending on position and eligibility; base salary is listed separately.
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.