ahmedabad gujarat data analytics Jobs – 138 Open Jobs Today

Quant Researcher - Fresher
Miracles Fin-Tech and it's Associated Companies —Ahmedabad, Gujarat
- Up to ₹6,00,000 a year
- Full-time
- Master's degree
- Analysis skills
- Math
Quick apply
10h
Senior Software Engineer - Power Markets
Trading Technologies —Ahmedabad, Gujarat
- Full-time
- Hybrid work
- Java
- AWS
- C++
- Paid holidays
- Paid time off
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Sterlite Technologies Limited —Ahmedabad, Gujarat
- Oracle
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- Databases
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CQ10134-Oracle EBS Technical Consultant -(Navi Mumbai)
Conneqtion Careers —Ahmedabad, Gujarat
- Oracle
- Data analysis skills
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Quant Researcher - Fresher

Miracles Fin-Tech and it's Associated Companies
Ahmedabad, Gujarat

Quick apply

Job details

Permanent | Full-time
Up to ₹6,00,000 a year
10 hours ago

Qualifications

NumPy
Master's degree
Pandas
Analysis skills
Math
Bachelor's degree
Machine learning
Python

Full job description

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

Quick apply

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Senior Software Engineer - Power Markets

Sr. Developer C++

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