Role Overview
We are looking for a highly analytical and mathematically strong Quantitative Research Intern to join our quantitative research and trading team. This role is ideal for candidates with a deep interest in financial markets, statistical modeling, and algorithmic trading.
You will work on developing, validating, and optimizing trading strategies using rigorous quantitative methods, statistical techniques, and real-world market data.
Key Responsibilities
- Conduct quantitative research on financial instruments (Equities, Futures, Options)
- Apply statistical and mathematical techniques to identify trading opportunities
- Develop, test, and optimize algorithmic trading strategies
- Perform rigorous backtesting and validation of strategies using historical data
- Conduct high-quality verification of trading strategies, including robustness checks, out-of-sample testing, and sensitivity analysis
- Analyze arbitrage opportunities and technical indicators (RSI, MACD, Moving Averages) with a quantitative approach
- Perform risk analysis, drawdown evaluation, and stress testing of models
- Use Python/R for data analysis, statistical modeling, and backtesting
- Build analytical models and dashboards using Excel / Google Sheets
- Document methodologies, assumptions, and performance metrics in structured reports
Key Requirements
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance, or related quantitative field
- Strong foundation in probability, statistics, linear algebra, and numerical methods
- Proven ability to validate trading strategies using statistical rigor (hypothesis testing, backtesting, performance metrics like Sharpe ratio, drawdown, etc.)
- Minimum 1 year of experience in equities, derivatives, or active personal trading
- Strong proficiency in Python (NumPy, Pandas, SciPy, etc.)
- Advanced Excel / Google Sheets skills for quantitative analysis
- Understanding of arbitrage strategies and technical indicators
- Conceptual clarity in algorithmic/quantitative trading
- Strong analytical thinking and problem-solving ability
- Ability to interpret data critically and avoid overfitting or biased results
Preferred Qualifications
- Familiarity with time series analysis, stochastic processes, or machine learning models
- Experience with financial APIs, databases, or market data feeds
- Exposure to backtesting frameworks or trading systems
- NISM Series-VIII Certification (Mandatory)
Perks & Benefits
- Performance-based PPO (Pre-Placement Offer)
- Letter of Recommendation (LOR) upon successful completion
- Opportunity to work on real-world trading strategies
- Mentorship from experienced quantitative researchers and traders
Job Type: Full-time
Pay: ₹10,000.00 - ₹15,000.00 per month
Experience:
- equities and/derivative trading: 1 year (Required)
- quant trading: 1 year (Preferred)
License/Certification:
- NISM-8 certification (Required)
Work Location: In person
