Senior Manager, Quant Data Platform

Fidelity Investments•Boston, MA
•$107,000 - $216,000

About The Position

Lead dataset onboarding efforts for the Quantitative Research Platform (QRP) team within Fidelity’s Quantitative Research and Investments (QRI) division. Collaborate with technology partners to integrate financial and alternative datasets into QRP and ensure they meet rigorous standards for quantitative research. Work closely with researchers to design data consumption patterns and partner with Data Operations to maintain data quality. The role calls for a strong background in managing and delivering complex data solutions for quantitative research within asset management. It involves onboarding and curating vendor and enterprise datasets, accelerating onboarding while maintaining sustainability and quality, coaching teams, improving documentation, applying project-management best practices, and communicating with technical and investment stakeholders. Technical work includes using SQL and Python and working with traditional financial and alternative datasets, point-in-time data modeling, historical reconciliation, and data governance. QRI develops quantitative and hybrid quantitative/fundamental investment strategies and delivers data-driven insights to Fidelity investment professionals. The QRP team enables quantitative research and portfolio management by providing curated, high-quality datasets and partnering with technologists and researchers to onboard internal and vendor datasets and maintain data standards. The base salary range is $107,000–$216,000 USD per year. Fidelity will not provide immigration sponsorship for this position. Fidelity is transitioning to a full-time onsite working model through a phased regional and role-based rollout; onsite expectations vary and may evolve.

Requirements

  • At least 5 years of experience in asset management or hedge funds, focused on data analysis, delivery, and transformation across asset classes.
  • Proven ability to lead engineering teams and coach others while contributing individually.
  • Exposure to a wide array of financial and alternative datasets, with deep knowledge of consumption patterns.
  • Technical proficiency in SQL and Python.
  • Experience with major financial data vendors, including Bloomberg, S&P, FactSet, Refinitiv, Morningstar, and MSCI.
  • Strong grasp of point-in-time data modeling, historical reconciliation, and data governance practices.
  • Ability to communicate effectively with technical and investment stakeholders.
  • Fidelity will not provide immigration sponsorship for this position.

Nice To Haves

  • CFA charter holder or progress toward CFA designation.

Responsibilities

  • Lead dataset onboarding efforts for the Quantitative Research Platform team.
  • Collaborate with technology partners to integrate financial and alternative datasets into QRP.
  • Ensure datasets meet rigorous standards for quantitative research, performance, usability, and research accuracy.
  • Work with researchers to design intuitive data consumption patterns.
  • Partner with Data Operations to maintain data quality.
  • Onboard and curate vendor and enterprise datasets, accelerating the process while maintaining sustainability and quality.
  • Coach teams, improve documentation, and maintain project-management best practices.
  • Deliver large-scale data projects on time and at quality, with transparency and collaboration across teams.

Benefits

  • Comprehensive health care coverage and emotional well-being support.
  • Market-leading retirement benefits.
  • Generous paid time off and parental leave.
  • Charitable giving employee match program.
  • Educational assistance, including student loan repayment, tuition reimbursement, and learning resources for career development.
  • Depending on position and eligibility, bonus or other variable compensation.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service