Quantitative Researcher – Fresher
Miracles Fintech and Its Associated Companies
Bopal, Ahmedabad, Gujarat, India | Full-Time | Department: Quantitative Research
About the Company
Miracles is a technology-driven proprietary trading and research firm building scalable, high-performance quantitative trading systems. We operate across Indian financial markets including NSE, BSE, and MCX, with a strong emphasis on data-driven research, innovation, and systematic trading.
Role Overview
We are looking for a Quantitative Researcher (Fresher) to join our growing research team. This role is ideal for graduates with strong foundations in mathematics, statistics, and programming who are eager to apply their analytical skills to real-world financial markets.
You will work closely with senior researchers and contribute to strategy research, data analysis, backtesting, and real-time model validation across NSE, BSE, and MCX markets.
We prefer candidates from Ahmedabad & Gujarat.
Key Responsibilities
- Clean, preprocess, and structure historical and real-time market data (tick-level and OHLC) using Python, Pandas, and NumPy for quantitative research.
- Handle large-scale datasets including per-second index data, option chain data, and derived metrics; apply statistical analysis and analytical reasoning to identify patterns.
- Assist in developing intraday trading strategies (VWAP-based, breakout, mean-reversion) using Python and data visualization libraries like Matplotlib and Seaborn.
- Implement and validate statistical models including z-score, correlation, and spread-based strategies; apply probability and hypothesis testing for idea validation.
- Conduct backtesting on historical datasets and analyze performance metrics (PnL, win rate, drawdown) using Pandas, NumPy, and Jupyter Notebook / Google Colab.
- Build and maintain dashboards and visualization tools using Matplotlib, Seaborn, and Zoho Analytics to track strategy performance and market behavior.
- Monitor live data streams and validate real-time strategy outputs against backtested results; handle forward-fill logic, missing ticks, and data irregularities using Python.
- Collaborate with senior researchers, developers, and trading teams to support research initiatives and contribute to idea generation.
Required Skills & Tools
- Python (mandatory) — primary language for all data and research tasks
- Pandas — data manipulation, cleaning, and time-series handling
- NumPy — numerical computation and array operations
- Matplotlib — charting and strategy performance visualization
- Seaborn — statistical data visualization
Tools & Platforms
- Jupyter Notebook / Google Colab — research and prototyping environment
- Statistical Analysis — probability, z-score, correlation, hypothesis testing
- Machine Learning — basic ML concepts applied to market data modelling
- Analytical Reasoning — pattern recognition and systematic thinking
Education
Bachelor’s or Master’s degree in one of the following:
- Mathematics
- Statistics / Applied Statistics
- Physics
What You Will Learn
- Real-world quant trading systems — not theoretical
- Working with tick-level data and live trading environments
- Full strategy lifecycle: idea → backtest → validation → live deployment
- NSE / BSE / MCX market microstructure, options & derivatives
Preferred Traits
- Strong analytical thinking and curiosity to explore data
- Ability to learn quickly and adapt in a fast-paced research environment
- Attention to detail and methodical problem-solving approach
- Interest in financial markets and systematic trading
Apply now at [email protected] and build your quant career at Miracles.
Pay: Up to ₹600,000.00 per year
Work Location: In person
