You will have:
· PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.
· Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
· Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools
· Experience taking an application 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 and LLMs to real-world data challenges
The TeamWe are a GenAI technology 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 appreciate the challenges that come from working with state of the art AI models.
The base salary range for this position is $126,000-255,000 USD per year.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.
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.
Certifications:Category:Data Analytics and InsightsSkills Required
- PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with Statistics background) with 4+ years industrial experience
- Experience working with LLMs for data science problems, information retrieval applications, clustering, and coding
- Deep expertise in Python
- Experience with data-centric techniques and engineering principles for building efficient model inference tools
- Experience taking applications from research to production and realizing measurable value
- Ability to work on and drive progress for multiple projects concurrently
- Experience guiding business stakeholders to identify AI/ML use cases and contributing to brainstorming
- Excellent planning, project management, leadership, and research skills
- Experience communicating results to business stakeholders, including conveying statistical findings through data visualizations
- Enthusiasm for learning new skills and domains, applying state-of-the-art ML research and LLMs
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
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