Neuraltech Soft

MUMBAI (ON-SITE) | 2-3 years Experience | FULL TIME Job Description: Design and Optimize Strategies: Implement, refine, and optimize trading strategies and ML models based on market data, order flow, and trade data from market quotes. Backtest these strategies using Python, R, and other relevant tools. Investment Idea Generation: Generate short, medium, and long-term investment ideas and strategies through rigorous quantitative research and data analysis. AI and ML in Finance: Apply cutting-edge AI and ML techniques in stock selection, portfolio construction, and strategy development. Data Processing and Analysis: Work with large datasets of equity and derivatives, analyzing market data to extract meaningful insights that can improve model performance and decision-making. Eligibility criteria: Bachelor s or master s degree in quantitative finance, Mathematics, Computer Science, Statistics, Physics, Engineering, or related quantitative disciplines. Basic understanding of financial markets, derivatives, equities & Statistical concepts. Proficiency in programming languages such as Python and R (other languages like C++, Java are a plus). Excellent communication skills, to collaborate with other teams and clients. Strong analytical and problem-solving skills. Thank you for your submission! There was an error submitting your form. Please try again.