Weve assembled a world-class team and are building a firm grounded in intellectual rigor, commitment to excellence, and a culture of ownership. Were energized by the scale of the opportunities ahead and are looking for teammates who want to help build something fast-moving, high-impact, and built to win.

KEY RESPONSIBILITIES :

- Construct analytical dashboards from alternative data use cases, such as sector or thematic and financial KPI dashboards

- Load and import data into internal warehouses through Azure Blob Storage and/or S3 deliveries, SFTP, and other ingestion mechanisms

- Design and implement ETL workflows for preprocessing of transactional and aggregated datasets including : complex joins, window functions, aggregations, bins and partitions

- Manipulate and enhance time series datasets into relational data stores

- Implement and refine panels in transactional datasets and relevant panel normalization

- Conduct webscraping, extraction and post-processing of numerical data from web-based datasets

QUALIFICATIONS :

- Bachelors or Masters in Engineering, Finance, Accounting, Economics or related field

- Previous experience working within fundamental equity investment workflows, such as exposure to financial modeling

- High proficiency in SQL and the Python data stack (pandas, numpy, sklearn)

- Experience working with scheduling and execution platforms, such as Airflow, Prefect, or similar scheduled DAG frameworks

- Understanding of efficient query management in Snowflake, DataBricks, or equivalent platforms

- Optional familiarity with automation of workflows that produce Excel outputs, such as through openpyxl

- Optional familiarity with integrations and import/exports to REST/gRPC/GraphQL APIs

ADDITIONAL DETAILS :

- Work Location : In-office, 5 days per week in Mumbai, India

- Hours : India hours, with an overlap with the US hours (noon to late evening IST)

- Security : This role is performed in a dedicated, secure workspace

- Travel : Annual travel to the U.S. for onsite collaboration is expected