Job Description:
The Group
Quantitative Research and Investing (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity’s fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.
The Role
As member of this team, you will be developing alpha signals and risk models from end-to-end (from raw data to live strategies/portfolios). You will leverage standard and advanced tools from econometrics, statistics, stochastic calculus, machine learning, network graph analysis, etc. to pursue applications mostly for quant equities but likely with some exposure to quant credit and cross-asset strategies. This effort will create opportunities for Fidelity to utilize large volumes of structured, unstructured, alternative, and market data to develop new and proprietary sources of alpha to drive growth for the firm across our equity and fixed income strategies. You will engage in data exploration, modeling, and research to craft novel sources of alpha and new measures of risk and while strengthening our existing quant platform, and investment and research capabilities. This individual will be a hands-on contributor and be part of a nimble and high impact team that is developing differentiated strategies.
The Value You Deliver
Develop quant methodologies that leverage variety of data sources
Contribute innovative ideas and execute on them within our research process
Work closely with other team members to support ongoing research efforts
Develop trading strategies from idea generation, testing, all the way to production
Contribute to our quant research platform effort
Contribute to the broader training and development of an elite quantitative and data driven research and investment team
Help craft the overall research and development agenda
Education and Experience
5+ years of relevant work experience in a quantitative asset management role
PhD in a quantitative field of finance/economics or in statistics, applied mathematics, physics, computer science, engineering, or a closely related field is required
Alternatively, a master’s or equivalent advanced degree in aforementioned fields but with 8+ years of relevant work experience in a quantitative asset management role
Experience in developing alpha signals, risk models and investing strategies
Experience in wrangling with large structured and unstructured data in an efficient and scalable manner
Experience in leveraging LLMs/GenAI as part of day-to-day research & development and as building block for quant models
Strong background in quantitative investing
Passion for the market
Ability to write and deploy robust production-quality code is required
Experience in deploying network graph technologies and/or techniques in live investment strategies is required
Experience in equity, fixed Income, derivatives (multi-asset class experience) is required
Experience in delivering automated end-to-end workflows (from raw data to optimized portfolio)
The Skills You Bring
Thorough understanding and ability to drive the quantitative process across its lifecycle from idea generation, development, testing and production
Ability to clearly communicate and explain complex topics, share ideas, initiate and bring to fruition collaborative efforts across investment divisions
Outstanding hands-on research skills including data exploration, model development and evaluation, training, validation, and deployment at scale
Collaborative, creative and team-oriented approach to research, investing and technology
Excellent programming skills with Python and SQL
Ability to work with large, unstructured datasets and modern (cloud-based) technologies e.g. Snowflake (SQL), S3, Docker etc.
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.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.
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.