Job Overview
Location
Boston
Job Type
Full-time
Category
Data Scientist
Date Posted
February 9, 2026
Full Job Description
đź“‹ Description
- • Join Fidelity Capital Markets as a Director, Systematic Trading Quant, a pivotal role focused on merging our sophisticated systematic trading and analytics products into a cohesive, client-centric platform. This is an exceptional opportunity to shape the future of equity market navigation and execution for Fidelity Capital Markets clients in an increasingly complex financial landscape.
- • You will be instrumental in evolving Fidelity Capital Markets' equity offering, driving towards an integrated platform vision that empowers clients with advanced tools and insights.
- • A core responsibility will be the enhancement of critical trading algorithms, including VWAP, LSA, IS, and Dark pools. Your work will directly impact the achievement of best execution for our clients, ensuring optimal trading outcomes.
- • This role involves the end-to-end development and deployment of machine learning models, taking them from conceptualization through to production.
- • You will conduct rigorous performance reviews of deployed models, continuously validating their effectiveness in live trading environments.
- • Analyzing A/B test results will be a key activity, providing data-driven recommendations for new strategies to further optimize algorithm performance.
- • Staying abreast of evolving market structure is crucial. You will derive innovative ways to leverage new liquidity sources, enhancing trading efficiency and client outcomes.
- • You will be tasked with creating essential tools, prototypes, and simulation engines. These will streamline existing processes, facilitate rapid testing of new ideas, and accelerate innovation.
- • Close collaboration is essential. You will work hand-in-hand with business stakeholders, trading consultants, product managers, and technology teams to refine and enhance our product offering.
- • This position requires a deep understanding of quantitative finance and its application in systematic trading. You will leverage your expertise to build and refine trading strategies that deliver superior performance.
- • The role demands a proactive approach to identifying and implementing improvements in trading execution logic, aiming for quantifiable gains in efficiency and cost reduction.
- • You will contribute to the development of our next-generation brokerage products, ensuring they are at the forefront of technological advancement and market capability.
- • A significant aspect of the role involves translating complex quantitative concepts into actionable insights for both technical and non-technical audiences.
- • You will be a thought leader within the team and the broader organization, influencing strategy and driving best practices in systematic trading and quantitative analysis.
- • The opportunity exists to mentor and coach junior quantitative analysts, fostering a culture of continuous learning and development.
- • You will be at the forefront of applying artificial intelligence and machine learning techniques to solve challenging problems in trading and market analysis.
- • Your work will directly contribute to Fidelity's mission of making financial expertise broadly accessible and effective, helping individuals and institutions achieve their financial goals.
- • This role offers a unique chance to impact a significant segment of Fidelity's capital markets business, with visibility across multiple product lines and client segments.
- • You will be responsible for the quantitative integrity and performance of key trading algorithms, ensuring they meet the highest standards of accuracy and efficiency.
- • The ability to analyze vast datasets, identify patterns, and translate these into predictive models and trading strategies is paramount.
- • You will play a key role in the continuous improvement cycle of our trading systems, from research and development to production deployment and ongoing monitoring.
- • This is a highly analytical and intellectually stimulating role, perfect for a quantitative professional looking to make a significant impact in a leading financial institution.
- • You will be empowered to explore new research areas and implement cutting-edge quantitative techniques to maintain our competitive edge.
- • The role requires a blend of theoretical knowledge and practical application, with a strong emphasis on delivering tangible results in a fast-paced trading environment.
- • You will contribute to the strategic direction of our systematic trading capabilities, ensuring alignment with market trends and client needs.
- • The successful candidate will demonstrate a passion for data, a drive for innovation, and a commitment to excellence in quantitative finance.
🎯 Requirements
- • Master's or Ph.D. degree in Engineering, Computer Science, Applied Mathematics, or a related quantitative discipline.
- • Minimum of three years of experience in systematic trading and Transaction Cost Analysis (TCA) to improve trading algorithms and systematic outcomes.
- • Experience with coaching large language models for quantitative analysis.
- • Knowledge of US Equity market, trading algorithms, and market microstructure.
- • Technical proficiency in Python, KDB Q, Snowflake, and MCP.
🏖️ Benefits
- • Comprehensive health care coverage and emotional well-being support.
- • Market-leading retirement savings plans.
- • Generous paid time off and parental leave.
- • Charitable giving employee match program.
- • Educational assistance, including student loan repayment and tuition reimbursement.
Skills & Technologies
Python
Remote
Degree Required
About Fidelity Investments
Fidelity Investments is a multinational financial services corporation offering asset management, brokerage, retirement planning, and wealth advisory services to individuals, institutions, and intermediaries worldwide. Founded in 1946, it operates through subsidiaries including FMR LLC, providing mutual funds, ETFs, trading platforms, and digital financial planning tools while serving over 40 million investors across North America, Europe, Asia, and Australia with discretionary and non-discretionary investment management solutions.
