Job Description:

The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain. This individual will act as the technical lead and collaborate with quants, strategic investment professionals to learn, propose, prototype and ultimately deliver scalable and effective solutions using machine learning, artificial intelligence, graph learning and LLMs etc.

This position can be located in Boston, Jersey City

THE EXPERTISE AND SKILLS YOU BRING

• Advanced degree in Computer Science, Engineering, Mathematics, Computational Statistics, Operations Research, Quantitative finance or related technical fields.
• 5+ years of prior work experience as a data scientist if MS degree, 3+ years with Ph.D. degree.
• Proficiency in developing supervised/unsupervised learning models and/or optimization theory.

• Good knowledge of neural network, deep learning and optimization theory; Experience with Natural Language Processing (NLP) and/or Generative AI.
• Proficient programming skills in Python/PyTorch/TensorFlow/Keras and SQL.

• Proven track record in model evaluation, tuning, performance, operationalization, scalability of scientific techniques, and establishing decision strategies.
• Experience in investment management projects involving multi-asset quantitative modeling, tax loss harvesting and portfolio construction.
• Ability to translate technical topics to non-technical audiences, previous roles to support portfolio managers and/or quantitative & fundamental research teams are a big plus
• Passionate about staying ahead of the industry with the latest advancements in AI and machine learning, and eager to drive innovation.
• Ph.D. degree is preferred, and CFA is a plus

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.

Certifications:

Category:

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.