Senior Quantitative Operations Specialist

About the role

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.

Responsibilities

• 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
• Work with internal and external data providers to resolve issues at source
• Answer portfolio and risk manager questions
• Develop automated systems for identifying data quality issues

Requirements

• 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

Qualifications

• 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

Skills

• SQL
• Python
• Snowflake
• Oracle

Benefits

• Comprehensive health care coverage
• 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

Pay

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.

Schedule

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.