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@jyotsanasingh1
I am a quantitative analyst specializing in predictive modeling and algorithmic trading for F&O markets.
I am a motivated quantitative analyst with a Master of Science in Financial Mathematics and hands-on experience as a Junior Quantitative Analyst at iRage Broking Services LLP, where I trade full-time on the NSEFO market and perform time-series and statistical analysis on TBT datasets to optimize live strategies. I build and evaluate predictive models, develop trading tools in Python, and use Microsoft Excel and Bash to support strategy research and execution.
Previously I worked as a Derivative Analyst at Miracles Finstock LLP and completed research projects at ASA Capital Management and the National Institute of Industrial Engineering, developing algorithmic trading strategies, studying option pricing, risk and portfolio management, and applying machine learning and deep learning to analyze market spillover effects.
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Work history, roles, and key accomplishments
iRage Broking Services LLP
Jan 2022 - Present (3 years 10 months)
Serve as a full-time quant trader for the NSEFO market, building and optimizing trading strategies through statistical and time-series analysis on TBT datasets and trade performance evaluation.
National Institute of Industrial Engineering
Jan 2020 - May 2020 (4 months)
Analyzed the spillover effect of crude oil prices on INR using Python, machine learning and statistical models, producing insights on currency-market interactions.
Degrees, certifications, and relevant coursework
Master of Science, Financial Mathematics
2018 - 2020
Master of Science in Financial Mathematics covering financial modelling, risk management, portfolio management, option pricing, asset capitalization, game theory, and optimization; developed a Python-based trading tool using moving averages.
Bachelor of Science, Physics
2014 - 2017
Bachelor of Science in Physics with Mathematics as a secondary subject; conducted a research project using Python, machine learning, and statistical models to analyze crude oil price spillover effects on the INR.
Software and tools used professionally
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