About the role

  • Act as the steward of data assets used in risk management and portfolio construction
  • Be responsible for a quality services effort to respond to data quality issues
  • Update and verify the multi factor risk model inputs and outputs before delivery to clients
  • Enable access to accurate, timely and relevant portfolio risk analytics
  • Analyze systems and processes to find efficiencies and improve accuracy and timeliness of reporting

Requirements

  • 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)
  • 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
  • Experience with vendor-provided risk data including Bloomberg PORT, BarraOne, RiskManager and/or Axioma
  • Experience in SQL, Python, Snowflake and/or Oracle
  • Experience in security, company, portfolio, and index-level information used in financial industry

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

Job title

Associate, Quantitative Data Operations

Job type

Experience level

JuniorMid level

Salary

$107,000 - $181,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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