Quantitative Analyst

Dozen Diamonds is a leading company in the development of the world's first automated stressless fintech solution, the Kosh App. The company aims to empower retail investors with the Stressless Trading Method (STM) to help them build wealth, create consistent cash flow, boost confidence, and recover losses. Dozen Diamonds is dedicated to simplifying financial journeys and providing trustworthy solutions for financial well-being. In this role, you will be responsible for designing, testing, and optimizing quantitative trading models and portfolio strategies focusing on Indian equities and derivatives. The position involves a combination of quantitative research, financial modeling, and systematic/algorithmic strategy design, necessitating a strong 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 (ranging from minute to monthly intervals) to identify patterns, volatility regimes, and market periodicities. - Build and maintain simulation pipelines using Python libraries such as NumPy, Numba, Pandas, and Matplotlib. - Model drift, volatility, and mean-reversion using stochastic processes like Brownian Motion and Markov Chain volatility models. - Conduct parameter optimization and sensitivity analysis to ensure model stability. - Contribute to the creation of whitepapers and internal research documentation. - Collaborate with product and engineering teams to implement models in production environments. Qualifications: - Education: Masters 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.,