Senior Manager, Quant Data Platform

The Role

You will lead the dataset onboarding efforts for the Quantitative Research Platform (QRP) team within Fidelity’s Quantitative Research and Investments (QRI) division. In this role, you will collaborate with technology partners to integrate financial and alternative datasets into QRP, ensuring they meet rigorous standards for quantitative research. You will work closely with researchers to design data consumption patterns and partner with Data Operations to maintain data quality.

The Expertise and Skills You Bring

You bring a strong background in managing and delivering complex data solutions for quantitative research within asset management. Your expertise spans onboarding and curating both vendor and enterprise datasets, ensuring they meet rigorous standards for performance, usability, and research accuracy.

You have experience accelerating dataset onboarding processes while maintaining sustainability and quality, and you excel at collaborating with technology partners and researchers to design intuitive data consumption patterns. Your ability to coach teams, improve documentation, and maintain best practices in project management demonstrates your leadership and commitment to operational excellence.

You are highly analytical, able to navigate complex data challenges, and communicate effectively with both technical and investment stakeholders.

Your technical proficiency includes SQL and Python, combined with a deep understanding of quantitative datasets ranging from traditional financial data such as prices, returns, fundamentals, and corporate actions to alternative datasets like sustainability analytics, supply chain, and credit card data.

You have hands-on experience with major financial data vendors (Bloomberg, SP, FactSet, Refinitiv, Morningstar, MSCI) and a strong grasp of point-in-time data modeling, historical reconciliation, and data governance practices. Your track record includes delivering large-scale data projects on time and at quality, with transparency and collaboration across multiple teams.

• 5 plus 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
• CFA charter holder or progress toward CFA designation is a strong plus

The Team

Quantitative Research and Investments (QRI) is an investments and research division within Fidelity Asset Management. QRI is responsible for developing quantitative and hybrid quant/fundamental investment strategies and delivering high-quality, data-driven insights to support Fidelity’s investment professionals.

Within QRI, the Quantitative Research Platform (QRP) team is an integral part of this mission because it ensures researchers have access to curated, high-quality datasets essential for quantitative research and portfolio management. QRP partners with technologists and researchers to onboard internal and vendor datasets, maintain rigorous data standards, and enable advanced research across systematic equity, fixed income, sustainable investing, and innovative strategies.

Fidelity’s Onsite Working Model

• Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles.
• Currently, some roles and locations require 100% onsite presence, while others require less.
• Onsite expectations are likely to evolve as the rollout continues.
• This transition does not apply to fully remote roles.

Pay and benefits

The base salary range for this position is $107,000-216,000 USD 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.

Certifications

Category: Data Analytics and Insights