2 months ago
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 analytics and model evaluation.
- Collaborate with quants, traders, 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 experience.
- 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 practical AI applications.
- Solid software engineering practices, including Git, testing, and modular design.
- Experience with AI developer-assist tools such as GitHub Copilot.
- Experience with GitHub, Maven, Jenkins, Artifactory, and uDeploy in CI/CD environments.
- Hands-on experience with AWS or other cloud platforms.
- Familiarity with object-oriented programming languages such as Java, Linux, shell scripting, and production support.
- Ability to bridge research, machine learning, and production systems and communicate with quants, traders, and engineers.
Benefits
- Fidelity is transitioning toward a full-time onsite working model through a phased rollout; onsite requirements vary by region and role and may evolve.
- Benefits include comprehensive health care coverage, emotional well-being support, retirement benefits, paid time off, parental leave, charitable giving match, student loan repayment, tuition reimbursement, and learning resources.
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.