Mobashshir T. β Product Manager
π About Me Iβm a passionate Quantitative Developer, Researcher, and Analyst with over 3 years of experience building stock market strategies, algorithmic trading systems, and data-driven investment models. Skilled in using Python for quantitative analysis, backtesting, and deploying real-world trading algorithms, I thrive at the intersection of data, markets, and technology. My expertise spans: β Quantitative Research & Alpha Generation β designing and testing trading hypotheses, performing time-series and cross-sectional analysis, leveraging statistical & machine learning models. β Stock Market Strategy Development β creating and optimizing trading strategies across equities and derivatives, with a strong focus on risk-adjusted returns. β Algorithmic Trading in Python β automating execution, integrating broker APIs, building robust backtesting engines, and managing trading workflows. β Quantitative Analysis & Data Engineering β manipulating large datasets, calculating indicators, volatility modeling, performance analytics, and portfolio optimization. β Backtesting of a strategy β manipulating large datasets, calculating indicators, volatility modeling, performance analytics, portfolio optimization and graph generation. Beyond the numbers, I enjoy solving complex problems with curiosity and creativity β always seeking new insights that drive smarter trading decisions. I believe the best quant solutions are a blend of rigorous research, elegant code, and clear communication. π Keywords: Quantitative Developer, Quantitative Researcher, Quantitative Analyst, Algo Trading, Algorithmic Trading, Stock Market Strategy, Python, Backtesting, Portfolio Optimization, Financial Modeling, Market Microstructure, Time-Series Analysis, Trading Systems, Risk Management. π Letβs Connect: Whether youβre interested in discussing quantitative research, building new trading strategies, or just sharing insights about the markets, feel free to reach out. Always happy to connect with fellow enthusiasts and professionals in the quant, fintech, and trading space!
Stackforce AI infers this person is a Fintech professional specializing in quantitative analysis and algorithmic trading.
Location: Kolkata, West Bengal, India
Experience: 5 yrs 1 mo
Skills
- Algorithmic Trading
- Quantitative Research
- Software Development
Career Highlights
- Over 3 years of experience in quantitative development.
- Expert in algorithmic trading and portfolio optimization.
- Skilled in Python for quantitative analysis and backtesting.
Work Experience
C2 INVESTMENTS, L.L.C.
Quantitative Developer Analyst and Researcher (2 yrs 9 mos)
Wipro
Python Engineer (2 yrs 4 mos)
Education
Bachelor of Technology - BTech at Future Institute Of Engineering and Management
Higher secondary at St Thomas Boys'β School