Overview

As a Business Analyst for a top 20 global investment firm, you will work on projects that enhance data availability and accuracy across the investment platform following the company’s data strategy and policies. You will collaborate with portfolio managers, product teams, and the data workstream to address complex data issues, deliver solutions that support asset management processes, and implement Data Governance practices. Client: Our client is one of the world’s top 20 investment companies headquartered in Great Britain. The organization is undergoing a major transformation, consolidating external and internal data sources into a unified ecosystem provided by an external vendor that aggregates all essential market, portfolio, and reference data. Project Overview:

Responsibilities:
  • Communicate with portfolio managers, traders, and product owners to clarify and document data and reporting requirements
  • Perform gap analysis and define requirements for implementing automated data quality and reconciliation checks
  • Prepare and maintain data mappings between internal systems and vendor platforms
  • Analyze database schemas, structures, and SQL scripts to investigate data discrepancies
  • Support the design and documentation of ETL and API processes, collaborating with engineering teams on automation and integration solutions
  • Identify opportunities to improve investment data workflows and enhance data consistency across the investment ecosystem
  • Identify data domains, subdomains, and data owners
  • Contribute with the adoption of the company’s data strategy, including the adoption of the Data Masters
  • Perform Data Protection Impact Assessments
Required Qualifications:
  • Hands on experience in the Asset Management domain (CFA certification is a plus)
  • 3+ years of experience working in projects with large volumes of data and different data formats
  • Strong ability to translate business requirements into technical deliverables
  • Experience with data schema design and data modelling, data mappings
  • Experience with API investigation
  • Experience with SQL
  • Experience with data modeling
  • Experience in data warehousing/dimension modelling, reporting and business intelligence
  • Excellent analytical and problem-solving skills with attention to detail
  • Strong communication skills and fluent spoken English
Note:

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