Selected intern's day-to-day responsibilities include
Develop and backtest algorithmic trading strategies using historical market data.
Analyze large-scale financial datasets using Python and SQL.
Build and evaluate AI and machine learning models for market prediction.
Research quantitative trading strategies and identify potential investment opportunities.
Create dashboards and automate analytics tools for monitoring trading performance.
Collaborate with the team to improve AI-driven trading systems and investment models.
Skill(s) required
Python Python Libraries Stock Trading
Who can apply
Only those candidates can apply who
are available for the work from home job/internship
can start the work from home job/internship between 21st Jun'26 and 26th Jul'26
are available for duration of 3 months
have relevant skills and interests
Other requirements
Are pursuing or have recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, Finance, or a related field.
Have a basic understanding of Python and data analysis techniques.
Possess strong analytical, logical reasoning, and problem-solving skills.
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Have a keen interest in financial markets, quantitative trading, and algorithmic investing.
Perks
Certificate Letter of recommendation Flexible work hours 5 days a week
Additional information
Perks
Hands-on experience in AI, Machine Learning, and Algorithmic Trading.
Exposure to real-world hedge fund and quantitative research workflows.
Mentorship from experienced industry professionals.
Internship Certificate upon successful completion.
Pre-Placement Offer (PPO) opportunities for top-performing interns.
Number of openings
5
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