Job Description:

Core Skills and Experience:

- 5 - 8 years of experience in analytics, data, or quantitative roles within financial services.

- Exposure to asset management, private markets, or capital markets (preferred but not mandatory).

- Strong SQL skills with experience working on large and complex datasets.

- Proficiency in Python / PySpark or willingness to build expertise in programming.

- Experience in data modelling for analytics or reporting use cases.

- Hands-on experience with BI/visualization tools (Power BI, Tableau, Looker, etc.).

- Strong analytical thinking, problem-solving ability, and attention to detail.

- Ability to work in a fast-paced environment and manage multiple priorities.

- Knowledge of data governance, controls, and metadata management.

Preferred Experience :

- Experience working with Databricks, Snowflake, or similar cloud data platforms.

- Understanding of data pipelines, ETL processes, or lakehouse architectures.

- Knowledge in coding best practices, testing, version control, and automating recurring analytics processes.

- Experience with building light tools and applications using SQL, Python (e.g. Streamlit).

- Exposure to private markets datasets or fund analytics.

- Prior experience mentoring or leading small teams.