Role Overview

We are looking for a Data Analyst Intern with a strong quantitative background to extract actionable insights from raw stock market data. In this role, you won't just be building dashboards; you will be digging into massive datasets—ranging from tick-by-tick price data to fundamental corporate metrics—using statistics, inference, and machine learning.

Key Responsibilities
- Data Exploration & Engineering: Ingest, clean, and preprocess massive volumes of structured and unstructured financial data (e.g., price-volume series, order book data, corporate filings, macroeconomic indicators).
- Predictive Modeling: Design and prototype machine learning models to forecast market trends, price movements, or fundamental metrics.
- Feature Engineering: Extract and engineer high-quality features from raw price actions and financial statements to feed into quantitative strategies.
- Testing & Validation: Collaborate with stakeholders to test analytical insights and predictive models against historical data, ensuring robustness against overfitting.
- Insight Delivery:



Standardize data pipelines and translate complex quantitative findings into clear, data-driven recommendations for the broader team.

Required Skills & Qualifications
- Python: Proficiency in Python is mandatory. Working knowledge of the core data science stack: pandas/polars, numpy, scipy, and scikit-learn required.
- Database & SQL: Working knowledge of querying large relational databases and dealing with time-series databases (e.g., SQL, PostgreSQL, etc.).
- Quantitative Foundation: Solid grasp of probability, statistical inference, linear algebra, and time-series econometrics.
- Version Control: Clean Git hygiene and familiarity with collaborative workflows.

Compensation & Other Details
- Stipend: ₹10,000 - ₹15,000 per month.
- Work Mode:In-Office
- Duration: 4 months.
- PPO Opportunity based on Performance:
- Additional Perks: Free meals

Pay: ₹10,000.00 - ₹15,000.00 per month

Perks:
- Food

📌 Quantitative Data Analyst (Indore)
🏢 Indo-Thai Securities
📍 Indore