Vice President, GenAI (LLM – Asset Management)

Key Skills

Aartificial intelligence, AWS, Data Analytics, Data science techniques, Effective communication skills, Machine learning techniques, Natural Language Processing (NLP), Oracle, Python Programming, R Programming

Job Description

You are a seasoned scientist with a deep understanding of GenAI, and a burning desire to unlock its mysteries in the context of a professional domain such as finance. You are excited about this once-in-a-lifetime opportunity to completely rethink the foundations of your discipline (Computer Science, AI, Finance) around an epoch-defining new technology (in this case, GenAI). You are at home in an applied technical group conceiving of, building and delivering first-of-a-kind knowledge-based applications. You have excellent collaboration skills and revel in working as part of a team to solve deep applied problems.

You will have:

• You have a PhD or Master's in AI/ML, Computer Science or Finance (with a background in Machine learning), with five years plus of industrial experience.
• An understanding of how state-of-the-art LLMs can be induced to use explicitly supplied structured and unstructured information, their implicit world knowledge and their slow-thinking abilities to solve domain-specific problems (such as extraction, evaluation and comparison or argument structure in investing domains).
• A grasp of logic- and ML-based AI techniques for knowledge extraction, representation and reasoning. Expertise in combining symbolic, logic-based representations (e.g. knowledge graphs, ontologies) with informal, text-based domain content to solve business problems
• An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings, e.g. by playing off state-of-the-art LLMs (from OpenAI, Google, Anthropic) against each other.
• A track record of managing the exploration vs exploitation tradeoff to deliver innovative solutions for first-of-a-kind problems
• Deep expertise in Python, data-centric AI (ML) techniques, particularly as applied to text, tables, documents. Excellent knowledge of standard tools of the trade for machine learning engineers.

The Team

We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals in Fidelity Asset Management – analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts – e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks.

These tasks includes summarizing documents (from different points of view), answering questions about passages, extracting terms from documents, comparing extracted information across time, across deals, consolidating and restating agreements (with their amendments), identifying trends, monitoring changes in the state of the world that are relevant to a particular professional, generating plausible scenarios, analyzing and decomposing into factors, generating reports. Assistants are personalized to their principal, deliver results with high quality, and are expected to get better over time, with increased interaction with their principals and with the world.

Certifications:

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money.

Join Us

At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.

At Fidelity, our goal is for most people to work flexibly in a way that balances both personal and business needs with time onsite and offsite through what we’re calling Dynamic Working. Most associates will have a hybrid schedule with a requirement to work onsite at a Fidelity work location for at least one week, 5 consecutive days, every four weeks. These requirements are subject to change.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.