COMPANY PROFILE Greenland Investment Management is a Mumbai headquartered global hedge fund manager managing assets in excess of USD 1 billion. We manage one of the fifteen largest dedicated commodity hedge funds globally. We specialize in cross-market arbitrage strategies across commodities and currencies, investing globally across 40+ markets.

We employ a purely quantitative approach using our proprietary big-data research systems to systematically create consistent alpha generating strategies. Our extensive network of globally connected exchange co-located servers along with our low latency trading platform allow us to algorithmically capture these market inefficiencies across asset classes.

About the Role We're hiring a Quant Developer to build and own the data and research infrastructure behind our commodities research team. You'll work across data engineering, research tooling, and trading-system integration — building pipelines, a backtesting framework, and the tooling that turns models into production-ready systems.

Responsibilities Market data - Design and maintain pipelines to ingest and process tick data across the commodities product universe.





- Integrate additional third-party data vendors and own the maintenance of their APIs and feeds.
- Store data efficiently in DuckDB and build/maintain spread series (calendar, inter-commodity, product).
- Ensure data quality, completeness, and reliability through monitoring and validation. Research infrastructure - Build the research layer and a reusable, performant backtesting framework.
- Improve the codebase so researchers use the system rather than write code — clean APIs, sensible defaults, minimal boilerplate. Trading system integration - Own the workflow for setting up research models on the trading system.
- Build and maintain the scripts that push model parameters to the trading system reliably and repeatably.

Requirements - 2+ years as a quant developer, data engineer, or software engineer in a quant/trading environment.

- Solid Python and SQL; production-quality, well-tested code.
- Experience building data pipelines, ideally with tick-level market data.
- Working knowledge of DuckDB (or similar columnar/analytical stores).
- Solid grasp of time-series and financial tick data (gaps, timestamps, rolls/adjustments).

📌 Quant Developer (Mumbai)
🏢 Greenland Investment Management
📍 Mumbai