Fidelity Investments
Overview
The Role You are a seasoned scientist with a deep understanding of GenAI, and a desire to unlock its mysteries in the context of a professional domain such as finance. You are excited about rethinking the foundations of your subject area (Computer Science, AI, Finance) around an epoch-defining new technology (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 enjoy working as part of a team to solve deep applied problems.
Requirements
You have a PhD or Master’s in AI/ML, Computer Science or Finance (with a background in Machine learning), with 5+ years of industrial experience.
An understanding of how innovative 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 GenAI applications into production that can reliably process information in open-ended settings, e.g., by playing off innovative LLMs against each other (from OpenAI, Google, Anthropic).
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, and 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 managers in equities, fixed income, high income, direct lending. The stack will be able to process all 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 include summarizing documents (from different points of view), answering questions about passages, extracting terms from documents, comparing extracted information across time and across deals, consolidating and restating agreements (with amendments), identifying trends, monitoring changes in the state of the world relevant to a professional, generating plausible scenarios, analyzing and decomposing into factors, and generating reports. Assistants are personalized to their principal, deliver high-quality results, and are expected to improve over time with increased interaction with their principals and with the world.
Company Overview At Fidelity, we are passionate about making financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that values attracting the best talent and fostering a diverse and inclusive workplace where associates’ unique perspectives and experiences are respected.
For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Please email accommodations@fmr.com or call 800-835-5099, prompt 2, option 2 to request an accommodation.
Certifications Category:
Data Analytics and Insights
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.
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The Role You are a seasoned scientist with a deep understanding of GenAI, and a desire to unlock its mysteries in the context of a professional domain such as finance. You are excited about rethinking the foundations of your subject area (Computer Science, AI, Finance) around an epoch-defining new technology (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 enjoy working as part of a team to solve deep applied problems.
Requirements
You have a PhD or Master’s in AI/ML, Computer Science or Finance (with a background in Machine learning), with 5+ years of industrial experience.
An understanding of how innovative 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 GenAI applications into production that can reliably process information in open-ended settings, e.g., by playing off innovative LLMs against each other (from OpenAI, Google, Anthropic).
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, and 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 managers in equities, fixed income, high income, direct lending. The stack will be able to process all 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 include summarizing documents (from different points of view), answering questions about passages, extracting terms from documents, comparing extracted information across time and across deals, consolidating and restating agreements (with amendments), identifying trends, monitoring changes in the state of the world relevant to a professional, generating plausible scenarios, analyzing and decomposing into factors, and generating reports. Assistants are personalized to their principal, deliver high-quality results, and are expected to improve over time with increased interaction with their principals and with the world.
Company Overview At Fidelity, we are passionate about making financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that values attracting the best talent and fostering a diverse and inclusive workplace where associates’ unique perspectives and experiences are respected.
For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Please email accommodations@fmr.com or call 800-835-5099, prompt 2, option 2 to request an accommodation.
Certifications Category:
Data Analytics and Insights
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.
#J-18808-Ljbffr