·   At least 3 years of relevant experience in data solutioning, process re-engineering, and digital product development.

· Proficient in Python and SQL

· Exposure to financial services industry is preferred, and experience in private markets is advantageous.

· Possess knowledge and strong passion in data governance, data quality, and data management.

·  Good engineering experience and practices in SQL, and/or any relational database/warehouse (e.g. Postgres, Oracle, Snowflake, Python/Pandas/DBT/PySpark).