Fidelity

Asset Management

SeniorQuantitativeOperationsSpecialist

$107–216k Boston, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Quantitative Operations Specialist at Fidelity. Skills: Quantitative Operations, Risk Analytics, Data Quality, SQL. Act as a steward of data assets. Manage a quality services effort”

What You'll Achieve.

Ensuring all vendor and internal portfolio risk analytics are delivered consistently, accurately and on a timely basis; Insulating production and research from upstream issues; Enable Fidelity Asset Management’s access to accurate, timely and relevant portfolio risk analytics; Ensure high quality of data to support the investment process

Industry & Context.

Asset Management
Problems you'll solve

Highly analytical; Ability to quickly comprehend large data sets; Demonstrated ability to root-cause data quality issues

What They're Looking For.

Must Have

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, Experience with SQL, Experience with Python, Experience with Snowflake, Experience with Oracle

Nice to Have

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, Investment Management business domain expertise across some combination of risk management, portfolio management, trading and investment operations

What You'll Do.

Act as a steward of data assets

Manage a quality services effort

Respond to data quality issues

Update and verify risk model inputs

Analyze systems and processes

Improve timeliness of reporting

Develop automated systems

Identify data quality issues

Resolve issues at source

Answer portfolio and risk manager questions

Document essential procedures

How You'll Work.

Team & Collaboration

Work with internal and external data providers; Work closely with key technology and business partners; Work with other teams and data providers

Communication Scope

Excellent written and verbal communication experience working with both technical and investment teams

Full Job Description

## ## Job Description: **The Role** 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. The Risk Platform Operations team are the stewards of risk analytics data for Fidelity Asset Management. They focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings. In this role, you will utilize domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer portfolio and risk manager questions, and develop automated systems for identifying data quality issues. **** **** **The Expertise and skills you bring** * 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 and insulating production and research from them * Update and verify the multi factor risk model inputs and outputs before delivery to clients * 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 * Analyze systems and processes to find efficiencies and improve accuracy and timeliness of reporting * Experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg * Highly analytical with the ability to quickly comprehend large data sets, develop and implement the right quality controls for these datase

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