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Machine Learning - Algo Trading - Internship (WFH)

CreditXchange.AI · All India

📅 08/08/2026
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About the internship: As a machine learning - algo trading intern at CreditXchange.AI, you will have the opportunity to apply your expertise in stock trading while working on cutting-edge projects in the financial technology industry. Your role will involve developing and implementing algorithms to optimize trading strategies, analyzing market trends, and collaborating with our team of data scientists and engineers to enhance our trading platform. Selected intern's day-to-day responsibilities include: 1. Utilize machine learning techniques to develop predictive models for stock trading. 2. Conduct research on market data and trends to identify profitable trading opportunities. 3. Implement algorithms for algorithmic trading strategies and backtest their performance. 4. Collaborate with team members to integrate and optimize trading algorithms on our platform. 5. Perform statistical analysis and data visualization to evaluate the effectiveness of trading strategies. 6. Stay current on industry trends and developments in machine learning and stock trading. 7. Present findings and recommendations to the team and contribute to the overall success of the company. Who can apply: Only those candidates can apply who: are available for the work from home job/internshipcan start the work from home job/internship between 3rd Aug'26 and 7th Sep'26are available for duration of 3 monthshave relevant skills and interests Stipend: INR 25,000 - 50,000 /month Deadline: 2026-09-05 23:59:59 Other perks: Certificate, Letter of recommendation, Flexible work hours, 5 days a week Skills required: Stock Trading Other Requirements: 1. Computer science background.2. Experience in building machine learning models. About Company: CreditXchange is simplifying financial services with the power of AI. We help individuals and businesses access loans, mutual funds, insurance, and tax filing services through a seamless, tech-driven experience. Our mission is to make finance smarter, faster, and more inclusive. .
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