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Quantitative Data Operations

Fidelity Investments

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Location:
United Kingdom , London

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Quantitative Research and Investments (QRI) is seeking a highly motivated data expert in the domain of portfolio risk analytics to join a risk platform operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction across Fidelity are delivered consistently, accurately and on a timely basis.

Job Responsibility:

  • Act as a steward of data assets critical to risk management and portfolio construction
  • Lead quality service efforts to address overnight data feed issues
  • Update and verify multi-factor risk model inputs and outputs prior to client delivery
  • Ensure access to accurate, timely, and relevant portfolio risk analytics by collaborating with technology and business partners to resolve data quality issues at the source
  • Analyze systems and processes to identify efficiencies and improve reporting accuracy and timeliness
  • Navigate complex data environments and support the necessary technology and analytics infrastructure
  • Identify root causes of data quality issues and collaborate with teams and providers to resolve them
  • Create automated processes to detect errors and ensure high-quality data for investment decision-making
  • Document procedures and validate data to maintain transparency and reliability

Requirements:

  • Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or a related quantitative field
  • 3+ years of experience in global data operations or support teams within peer firms, with a proven track record of delivering value
  • Experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg
  • Technical proficiency in SQL, Python, Snowflake, and/or Oracle, along with data quality frameworks
  • Deep knowledge of financial data across security, company, portfolio, and index levels, including pricing for equities, bonds, and derivatives
  • Expertise in anomaly detection methods, data quality workflows, and statistical best practices
  • Domain expertise in investment management across risk management, portfolio management, trading, and investment operations
  • Strong analytical skills to comprehend large datasets and implement effective quality controls
  • Ability to communicate effectively across technical and investment teams
  • Proactive, self-motivated approach, meeting objectives with minimal direction
What we offer:
  • Diverse and inclusive workplace
  • Reasonable accommodations for applicants with disabilities

Additional Information:

Job Posted:
April 21, 2026

Employment Type:
Fulltime
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