Senior Quantitative Operations Specialist

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

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 datasets

• Highly proactive and self-motivated with the ability to meet objectives under minimal direction

• 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) and construction of holdings

• Experience in SQL, Python, Snowflake and / or Oracle and related tools and DQ frameworks 

• 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 methods, tools, statistics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow

• 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

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

The Team

The Risk Platform Operations team is an integral part of the Quantitative Research and Investing (QRI) division in Asset Management. QRI 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.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $107,000-216,000 USD per year.  

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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