Machine Learning Data Scientist Stock Market Trading Models (Female Candidates Preferred)
Salary: 10 LPA - 15 LPA
Job Description:
We are hiring a Machine Learning Data Scientist for an exciting opportunity in developing AI-driven stock market trading models. The selected candidate will work full-time from our Mumbai office and collaborate closely with the research and trading teams.
This role is ideal for candidates passionate about financial markets, data science, and machine learning, with a strong desire to apply these skills to real-world trading strategies.
Key Responsibilities:
- Research and develop machine learning-based trading strategies for Indian stock markets
- Perform time series analysis, statistical modeling, and predictive modeling
- Clean, process, and analyze large financial datasets including price, volume, and news data
- Develop and maintain backtesting frameworks for strategy validation
- Optimize models for accuracy, performance, and risk-adjusted returns
- Regularly monitor models in live/paper trading environments
- Document all research, models, and trading logic in structured reports
- Collaborate with other quants, traders, and developers
Required Skills & Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, Statistics, Quantitative Finance, or related fields
- Strong command over Python and ML libraries (Pandas, Numpy, Scikit-learn, TensorFlow/PyTorch)
- Practical experience with time series forecasting, regression, classification, and clustering models
- Solid understanding of financial markets, equity trading, and risk metrics
- Analytical thinking and problem-solving mindset
- Ability to work independently in an office-based, fast-paced environment
- Excellent verbal and written communication skills
Preferred (Bonus) Skills:
- Experience in building quantitative trading strategies
- Familiarity with APIs like Zerodha Kite, Interactive Brokers, or similar for market data
- Knowledge of options and derivatives trading
- Exposure to deep learning and reinforcement learning models in finance
Work Mode:
- Full-time, On-site (Mumbai office only)
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