Quantitative Financial Researcher (Pune City)

Quantitative Financial Researcher (Pune City)

27 Aug
|
Arjuna Space AI India
|
Pune City

27 Aug

Arjuna Space AI India

Pune City

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?”
2. 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

3. Backtest signals

De

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

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