Quantitative Analyst

Company DescriptionDozen Diamonds is at the forefront of developing the world’s first automated stressless fintech solution. Through the innovative Kosh App, we empower retail investors to build wealth using the Stressless Trading Method (STM). Our mission is to enable consistent cash flow creation, confidence building, and loss recovery for investors. We are passionate about simplifying financial journeys and delivering solutions that inspire trust and financial well-being.Role OverviewYou will design, test, and optimize quantitative trading models and portfolio strategies across Indian equities and derivatives. The role blends quantitative research, financial modeling, and systematic/Algorithmic strategy design, requiring deep statistical intuition and practical implementation skills.Key Responsibilities- Develop, backtest, and refine systematic/algorithmic trading strategies based on STM and its variants. - Perform statistical analysis on large-scale price data (minute to monthly) to identify patterns, volatility regimes, and market periodicities. - Build and maintain simulation pipelines using Python (NumPy, Numba, Pandas, Matplotlib). - Model drift, volatility, and mean-reversion using stochastic processes (Brownian Motion, Markov Chain volatility models). - Conduct parameter optimization and sensitivity analysis for model stability. - Contribute to whitepapers and internal research documentation. - Collaborate with product and engineering teams to deploy models into production environments.QualificationsEducation:- Master’s degree in Financial Modelling, Physics, or Mathematics from a recognized institution. - Background in quantitative finance, data science, or applied mathematics is advantageous.- Technical Skills: - Strong proficiency in Python (NumPy, Pandas, Matplotlib, Numba). - Solid grasp of probability, statistics, and time-series analysis. - Understanding of trading systems, portfolio theory, and backtesting methodologies.

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