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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