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Data Management & Quantitative Analyst

Eliassen Group
life insurance, 401(k)
United States, Pennsylvania, Pittsburgh
Dec 10, 2024

Description:

Join our dynamic team as an IT Consultant specializing in securities pricing and data management. You will leverage your expertise in financial services and data analysis to provide critical support for client portfolio valuation. This role involves working with third-party vendors and utilizing advanced software tools to ensure accurate and timely data management. If you are detail-oriented and thrive in a deadline-driven environment, we want to hear from you.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $25 - $30 / hr. w2



Responsibilities:

  • Provide securities pricing activities via third-party vendors for client portfolio valuation.
  • Review and resolve moderately complex validation breaks in a deadline-driven environment.
  • Compile, synthesize, and report on market data sources; support access, maintenance, and security activities.
  • Manage moderately complex databases and data feeds; assist with data source management.
  • Conduct preliminary calculations and develop reports for senior colleagues.
  • Interpret findings and prepare initial drafts of standard reports.
  • Analyze internal and external datasets for market development in securities data.
  • Track vendor file delivery and resolve client inquiries related to process fail points.
  • Utilize third-party vendors for research, validation, and break resolution.



Experience Requirements:

  • Advanced proficiency in MS Excel
  • Experience with data management software (e.g., Eagle)
  • Familiarity with third-party vendors such as Bloomberg, ICE, Reuters
  • Proficient in MS Teams and Outlook for communication
  • Experience with web-based applications and programs
  • Prior experience in financial services is preferred.
  • Experience with data management and validation processes is advantageous.

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