Primary Responsibilities:

• Sets a strategic direction for data identification, collection, and qualification activities.

• Leads data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions.

• Coordinates and guides data science and data engineering elements of AI projects and ML techniques.

• Implements new technologies in a production environment with product, IT, and data engineering teams.

• Presents reports and findings to senior level technical and non-technical audiences.

• Develops and applies mathematical or statistical theory and methods.

• Collects, organizes, interprets, and summarizes numerical data to provide usable information.

Education and Experience:

Bachelor's degree (or foreign education equivalent) in Computer Science, Data Science, Analytics, Operations Research, Engineering, Information Technology, Information Systems, Statistics, Mathematical Finance, or a closely related field and five (5) years of experience as a Senior Manager, Data Science (or closely related occupation) building Artificial Intelligence/Machine Learning (AI/ML) models in a financial services environment.

Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Data Science, Analytics, Operations Research, Engineering, Information Technology, Information Systems, Statistics, Mathematical Finance, or a closely related field and three (3) years of experience as a Senior Manager, Data Science (or closely related occupation) building Artificial Intelligence/Machine Learning (AI/ML) models in a financial services environment.

Or, alternatively, PhD degree (or foreign education equivalent) in Computer Science, Data Science, Analytics, Operations Research, Engineering, Information Technology, Information Systems, Statistics, Mathematical Finance, or a closely related field and no experience.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") performing advanced statistical analytics to develop and evaluate supervised and unsupervised ML algorithms - Regression, Decision Trees, Neural Networks, Feature Selection, Hyper-Parameter tuning, and ranking models - using Python and ML libraries (scikit-learn, Tensorflow, Keras, or PyTorch).

• DE designing and developing NLP solutions to process unstructured and semi-structured text for NLP tasks - question answering, intent detection, classification, or clustering - using classical NLP and ML methods (Deep Learning (DL) and embeddings).

• DE launching ML and DL models in a production environment and performing data and runtime profiling of the solutions to assess the efficacy of the ML and AI algorithms.

• DE conducting ML research with financial applications, including portfolio construction, risk management, and factor investment.

[Expertise may be gained during Doctoral Program.]

#PE1M2

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.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

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.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.