Job Description
Job Description: The Data Science Team within Asset Management Technology, Quant Development, is seeking a highly motivated and technically proficient director of data science who is passionate about applying new technologies in finance domain. This individual will act as the technical lead and collaborate with quants and portfolio managers to prototype, learn, and ultimately deliver investments solutions using techniques such as machine learning, artificial intelligence, and graph learning.
The role is available in Boston, MA;
THE EXPERTISE AND SKILLS YOU BRING - PhD or Masters in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
- PhD and 2+ years OR Masters and 6+ years prior work experience as a data scientist or machine learning engineer.
- Hands-on experience in most of the following: Knowledge Graphs, Graph Learning, Generative AI, Large Language Models (LLMs) applications, and Information Retrieval.
- Experience in Natural Language Processing (NLP) and Deep Learning.
- Proficiency in developing supervised and unsupervised machine learning algorithms.
- Experience with fine-tuning language models.
- Knowledge in model evaluation, tuning, performance, operationalization, scalability of scientific techniques, and establishing decision strategies.
- Experience in evaluating and making decisions around the use of new or existing tools for a project.
- Experience in projects involving large-scale, multi-dimensional databases, business infrastructure, and multi-functional teams.
- Proficient programming skills in Python and SQL.
- Ability to translate technical topics to non-technical audiences.
- Passionate about staying ahead of the industry with the latest advancements in AI and machine learning, and eager to drive innovation.
THE TEAM The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.
The base salary range for this position is $103,000-$218,000 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.
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.
Certifications: Category: Data Analytics and Insights
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Job Tags
Full time, Work experience placement, Work at office, Work from home,