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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