Quantitative Researcher

You will be working as a Quantitative Researcher at PinSec.Ai, a fast-growing quantitative proprietary trading firm that excels in the financial markets by leveraging data-driven insights. Your role will involve developing new or enhancing existing trading models and strategies to profit from inefficiencies in the financial markets. You will analyze extensive financial datasets to uncover trading opportunities for alpha generation and utilize advanced tools like Python, TensorFlow, MATLAB, or Scikit-learn for model development. Additionally, you will focus on mid-frequency (MFT) and high-frequency (HFT) trading models, collaborate with the C-suite and upper management to explore new trading opportunities, backtest and optimize trading strategies, and implement Machine Learning and AI-based methods in ongoing and new strategies. Key Responsibilities: - Develop new or enhance existing trading models and strategies to profit from inefficiencies in the financial markets. - Analyze extensive financial datasets to uncover trading opportunities for alpha generation. - Leverage advanced tools like Python, TensorFlow, MATLAB, or Scikit-learn for model development. - Utilize datasets from sources such as Bloomberg, Quandl, NSE/BSE historical data, and alternative data sources. - Focus on mid-frequency (MFT) and high-frequency (HFT) trading models. - Collaborate with C-suite and upper management to explore new trading opportunities across various asset classes. - Backtest and optimize trading strategies to achieve high Sharpe ratios. - Develop cutting-edge alphas using advanced mathematical techniques and predictive models for market movements. - Implement Machine Learning and AI-based methods in ongoing and new strategies. Qualifications: - 3+ years of experience in a Quant Trading firm, specializing in Mid-Frequency Trading (MFT) or High-Frequency Trading (HFT). - A degree in a highly analytical field such as Engineering, Mathematics, Finance, or Computer Science from a top-tier institution. - Proficiency in Python, C++, or R, with a strong focus on data analysis and algorithm development. - Familiarity with tools such as TensorFlow, PyTorch, MATLAB, or QuantLib for quantitative analysis. - Knowledge of financial markets and trading systems or a strong passion for trading. - Experience working in Linux environments, AWS, and cloud operations. - A detail-oriented and inquisitive approach to problem-solving. - Strong work ethic and entrepreneurial mindset. Please note that the additional details of the company were not included in the provided job description.,