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Asset Management​/Operations BA

Job in Jacksonville, Duval County, Florida, 32290, USA
Listing for: CyberSearch
Part Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Asset Management / Operations BA

Asset Management / Investment Operations BA
Location :

Los Angeles, Ca or Orange County, CA 2-3 days a week onsite
Length: 9 months
Start: ASAP
interview:
Video

Roles:

  • Gather source and target data requirements, identify and analyze datasets for data product suitability
  • Conduct detailed data analysis on large data sets, generating insights on data gaps, trends, and areas for improvement
  • Develop points of view (POVs) through data analysis to support product feature decisions
  • Assist Data Product Managers in defining and prioritizing features
  • Create and maintain source-to-target mapping documents and product-related documentation
  • Develop and execute test scripts for Functional Testing and User Acceptance Testing (UAT) for data products
  • Document data validation controls and collaborate with the engineering team to guide implementation
  • Prepare data product release notes for operational readiness
  • Participate in Program Increment (PI) planning, daily stand-up, sprint demo, and sprint retrospective meetings, fostering transparency, feedback, and continuous improvement

Top 3 skills

  • Strong in advanced data analytics using Python and SQL
  • Experienced in functional and non-functional data requirements, such as mapping, flows, data dictionary, glossary, lineage, operational metadata, etc..
  • Strong background and experience in capital markets/investment management domain

Required:

  • 6-8 years of experience in the Financial Services industry, with mandatory asset management experience. Investment operations and data management experience preferred.
  • Asset Management and Investment Operations experience
  • Must have experience in an agile delivery model, well-versed in Scrum or Kanban planning and execution
  • Must have experience in detailed data analysis using tools, such as SQL, and Python
  • Ability to collaborate with Business and Technical teams to support Data Product outcomes
  • Experienced in the data quality analysis and certification process for Data Products
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