Job Description:
The Role:
Director, Quant Data Platform
You will lead the dataset onboarding efforts for the Quantitative Research Platform (QRP) team within Fidelity's Quantitative Research & 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, S&P, 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.
- 7+ 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
Team
Quantitative Research & 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, rel="noopener noreferrer">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.
Certifications:Category:Data Analytics and Insights
