Contribute to the data model design and lead the management and stewardship 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, while building and tracking data quality KPIs
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, processes and data provider relationships to find efficiencies and improve accuracy and timeliness of reporting
Mentor junior analysts to help them grow their data domain, data operations and security modeling skill sets
Requirements
Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or another quantitative field
5+ 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
Extensive experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg
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
Benefits
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
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