Job Description:
The Role
The Data Operations team is seeking a data expert responsible for ensuring that vendor and internal investment data used across Fidelity’s investment processes, analytics platforms, and decision-making workflows are delivered consistently, accurately, and on a timely basis.
The Data Operations team are the stewards of data for QRI (Quantitative Research and Investments). They focus on quality control of all data that feeds into investment processes, including, but not limited to, fundamental data, security T&Cs, portfolio holdings, and risk data. In this role, you will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them.
This role will serve as a player/coach, responsible for individual deliverables while mentoring junior members of the team. The role requires the ability to identify and resolve time-sensitive, root-cause data quality issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues.
The Expertise and Skills You Bring
- Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations. Strong understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives.
- Strong analytical capabilities with a demonstrated ability to analyze large and complex datasets, implement effective data quality controls, and develop automated processes to detect and resolve data issues, ensuring accurate and reliable data for investment decision-making.
- Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members.
- Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools.
- Experience working with risk analytics datasets from leading vendors such as Barra, Axioma, Northfield, and Bloomberg, along with a foundational understanding of market risk models and their application in portfolio risk management, is a plus.
- Familiarity with statistical techniques, such as anomaly detection, and AI tools used to support data quality and operational workflows.
- Excellent communication skills, with experience collaborating across technical, investment, and senior leadership teams.
- Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements.
- Experience in documenting key procedures and calculations and validating data for accuracy and completeness.
Education
- Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. A graduate degree is a plus.
- 5+ years of experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions.
The Team
The Data Operations team is an integral part of the QRI Investment Services division in Asset Management. The team supports QRI, which is responsible for the management and development of quantitative investment strategies and solutions, while providing high quality quantitative, data-driven support to Fidelity’s fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.