Fidelity Investments
Job Description:
Fidelity Labs seeks a Vice President of Data Science to join a Labs startup. The startup's focus is building innovative technology for financial services, with an expertise in artificial intelligence to accelerate growth. This role will lead the data science strategy and roadmap, working with a data science team, responsible for the design, implementation, testing and delivery of solutions that are reinventing how financial services firms market and sell their solutions. This role will be a key member of the startup team, serving as the face of data science for internal and external audiences, and will actively collaborate with the product and development teams.
The Team
We are
Fidelity Labs , Fidelity Investments' in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve.
Fidelity Labs is a dynamic workplace that combines the best parts of startup life-building from scratch, adapting quickly, with moon-shot ambition-with the scale and stability of an industry leader. We provide a supportive environment for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. Learn more at labs.fidelity.com.
The Expertise You Have Strong, proven, communication, collaboration and leadership skills
You have prior leadership experience understanding business objectives and developing solutions You can successfully communicate/convince other senior leaders of your plans and progress, both within an organization and with clients You are able to lead a team to accomplish that plan, in an agile and collaborative environment A passion for excellence and a desire to mentor and develop talent
Experience in delivery of data science to a product, ideally at a startup, lab or early stage company, in the field of AI-driven personalization, financial services, marketing and/or business development Proven experience building analytics, as well as leveraging large language models, to deliver useful insights from large datasets Hands on expertise in data extraction, cleaning, and preparation; feature extraction; model training and evaluation; model deployment MS/PhD in data science, statistics or similar quantitative field, plus 5 or more years senior level practical data science experience in the financial or similar domain Hands On Experience with Data Science, ML, AI, and LLM tools is plus (examples: Sagemaker Python, Scikitlearn, SQL, Bedrock, OpenAI)
This role is expected to be both forward-oriented and hands on, with a strong ability to communicate objectives, develop plans and deliver results.
Certifications:
Category:
Data Analytics and Insights
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.
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.
Fidelity Labs seeks a Vice President of Data Science to join a Labs startup. The startup's focus is building innovative technology for financial services, with an expertise in artificial intelligence to accelerate growth. This role will lead the data science strategy and roadmap, working with a data science team, responsible for the design, implementation, testing and delivery of solutions that are reinventing how financial services firms market and sell their solutions. This role will be a key member of the startup team, serving as the face of data science for internal and external audiences, and will actively collaborate with the product and development teams.
The Team
We are
Fidelity Labs , Fidelity Investments' in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve.
Fidelity Labs is a dynamic workplace that combines the best parts of startup life-building from scratch, adapting quickly, with moon-shot ambition-with the scale and stability of an industry leader. We provide a supportive environment for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. Learn more at labs.fidelity.com.
The Expertise You Have Strong, proven, communication, collaboration and leadership skills
You have prior leadership experience understanding business objectives and developing solutions You can successfully communicate/convince other senior leaders of your plans and progress, both within an organization and with clients You are able to lead a team to accomplish that plan, in an agile and collaborative environment A passion for excellence and a desire to mentor and develop talent
Experience in delivery of data science to a product, ideally at a startup, lab or early stage company, in the field of AI-driven personalization, financial services, marketing and/or business development Proven experience building analytics, as well as leveraging large language models, to deliver useful insights from large datasets Hands on expertise in data extraction, cleaning, and preparation; feature extraction; model training and evaluation; model deployment MS/PhD in data science, statistics or similar quantitative field, plus 5 or more years senior level practical data science experience in the financial or similar domain Hands On Experience with Data Science, ML, AI, and LLM tools is plus (examples: Sagemaker Python, Scikitlearn, SQL, Bedrock, OpenAI)
This role is expected to be both forward-oriented and hands on, with a strong ability to communicate objectives, develop plans and deliver results.
Certifications:
Category:
Data Analytics and Insights
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.
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.