Greenland Investment Management is a Mumbai headquartered global hedge fund manager managing assets in excess of USD 1 billion. We manage one of the 10 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 interconnected and exchange co-located servers along with our low latency trading platforms allow us to algorithmically capture these market inefficiencies across asset classes.
Job Profile:
Python Engineers work on building the core operations infrastructure for the firm and automating hedge fund operations to ensure a smooth running of the firm.
Job Description:
- The team is responsible for the design, development and maintenance of critical, data-driven applications which are a key component of daily trading workflow.
- You will be designing and implementing various tools and processes used by Quants, Traders and Operations.
- Design and build data pipelines and workflow systems for various market data and trading systems used by various groups across the firm.
- Design and build analytical tools and reporting systems for operational and business insights.
- Collaborate closely with cross-functional teams to gather requirements and implement scalable solutions.
- Take complete ownership of projects which includes evaluating requirements, building good domain knowledge, design and code reviews for other team members, documentation, etc.
- Continuously improve and optimize existing Python codebase/processes for better performance and reliability.
- Our development workplace is Python-based, with cross-platform work on Linux and Windows. We utilize tools such as Docker, Git, Messaging Queues, and cloud environments like AWS to build and
📌 Data Engineer (Mumbai)
🏢 Greenland Investment Management
📍 Mumbai
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