Quantitative Researcher

Job Description:

Position Description

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 application for Quant Equities, 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.

Primary Responsibilities

• 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

Education and Experience

• 5+ years of relevant work experience

• PhD in a Quantitative field of Finance/Economics  or Advanced degree (Master’s or PhD) in Statistics, Applied Mathematics, Physics, Computer Science, Engineering, or a closely related field is required

• 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

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, 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.

Certifications:

Category:

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.