Senior Quantitative Operations Specialist

skillventory - A Leading Talent Research Firm

Join Fidelity's QRI division as a data expert focused on portfolio risk analytics. Collaborate with teams to manage data quality and ensure timely analytics delivery.

Posted 6/30/2026full-timeBoston • Massachusetts, New Hampshire, New Jersey • 🇺🇸 United StatesSenior💰 $107,000 - $216,000 per yearWebsite

Tech Stack

Tools & technologies

OraclePythonSQL

About the role

Key responsibilities & impact

Act as a steward of data assets used in risk management and portfolio construction
Manage a quality services effort to respond to data quality issues in overnight feeds, enabling fast and seamless responses to upstream issues
Update and verify the multi factor risk model inputs and outputs before delivery to clients
Analyze systems and processes to find efficiencies and improve accuracy and timeliness of reporting
Enable Fidelity Asset Management’s access to accurate, timely and relevant portfolio risk analytics, working closely with key technology and business partners to correct data quality issues at source

Requirements

What you’ll need

Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or another quantitative field
3+ years’ experience in global data operations and/or support teams in peer firm(s) with a demonstrable track record delivering the value described for this role
Experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg
Experience with vendor-provided risk data and capabilities, including Bloomberg PORT, BarraOne, RiskManager and/or Axioma
Experience in security, company, portfolio, and index-level information used in financial industry, including pricing for various security types (equities, bonds, derivatives)
Experience in SQL, Python, Snowflake and / or Oracle and related tools and DQ frameworks
Excellent written and verbal communication skills; experience working with both technical and investment teams
Proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments
Demonstrated ability to root-cause data quality issues in complex environments and work with other teams and data providers to correct issues at source
Experience in creating automated processes to identify errors to ensure high quality of data to support the investment process
Experience in documenting essential procedures and calculations, and validating data

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisRisk Model ValidationData Quality FrameworksQuantitative AnalysisPortfolio Risk Analytics

Soft Skills

Excellent Communication SkillsCollaboration with Technical Teams