Required Skills and Experience

Strong understanding of investment management domain concepts, including:

• Public markets (equities, fixed income)
• Private investments (PE, VC, real assets)
• Portfolio structures, holdings, transactions, benchmarks
• Performance and attribution concepts

Other experiences:

• Proven experience in data transformation or data migration programs within financial services or asset management.
• Hands-on experience in creating source-to-target mappings and functional specifications for data pipelines
• Strong SQL skills for data analysis, including joins, aggregations, window functions, and data validation queries.
• Experience working with modern data platforms such as Snowflake, Databricks, or similar cloud-based ecosystems.
• Familiarity with data warehousing concepts, dimensional modeling, and data lake architectures
• Strong analytical thinking and ability to interpret complex datasets and business rules.
• Experience working in Agile delivery environments.