To Apply for this Job Click Here

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

To Apply for this Job Click Here