Quantitative Financial ResearcherArjuna Space AI | Pune / Hybrid

Engineering geospatial intelligence for India's financial markets.

About Arjuna

Arjuna Space AI is building geospatial intelligence infrastructure for financial markets by transforming satellite, geospatial, weather, maritime, infrastructure and other real-world data into proprietary financial signals.

Financial markets have abundant information about prices and companies but much of the physical economy remains difficult to measure continuously.

Arjuna's mission is to make that physical economy measurable.

We are looking for a highly analytical
Quantitative Financial Researcher
to help us turn alternative data into signals that institutional investors can actually use.

This is an early-stage, high-ownership role. You will work directly with the founding team to define what we should measure, build the research methodology, test whether signals have economic value, and help turn successful research into products.

What you will do1. Discover financial signals





Identify areas where alternative data can provide information that traditional financial datasets cannot easily capture.

Examples:
Infrastructure construction activity
Industrial expansion
Port and shipping activity
Energy infrastructure deployment
Agricultural activity
Commodity flows
Physical climate risk
Supply-chain activity

Your question will constantly be:

“What can we observe in the physical world before—or differently from—the financial markets?”
Build quantitative research frameworks

Develop methodologies to transform raw observations into measurable signals.

You will work with:
Time-series data
Satellite-derived features
Geospatial datasets
Market prices
Financial statements
Macroeconomic data
Weather data
AIS/maritime data
Alternative datasets

You will design:
Features
Indicators
Scores
Indices
Event signals
Forecasting models
Historical benchmarks
Backtest signals

De

📌 Quantitative Financial Researcher Pune City (India)
🏢 Arjuna Space AI India
📍 India