Job Description:

The Role

This is an individual contributor data science role. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You will have:

• PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience.
• Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
• Experience taking a model from research to production and realizing measurable value from it to the team or firm
• Ability to work on and drive progress for multiple projects at the same time
• Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
• Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
• Excellent planning, project management, leadership, and research skills
• Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
• Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
• Experience or strong interest in quantitative finance and modeling financial markets

The Team

We are a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and have incorporated LLM use cases into our pipeline, amongst other emerging technologies.

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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.