FMR

Director, Quantitative Data Operations

United Kingdom · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerFMR
  • LocationUnited Kingdom
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.

Show full description

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.

Certifications:

Category:

Data Analytics and Insights

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Snowflake

Explore similar roles

Similar jobs