Quantitative Researcher

As a Quantitative Researcher at PinSec.Ai, a fast-growing quantitative proprietary trading firm, you will be part of a team that excels in the financial markets by leveraging data-driven insights. We are committed to innovation and expanding our operations across Indian and global markets. We are looking for talented individuals who are passionate about data, numbers, and solving complex real-time problems. You will be responsible for developing new trading models and strategies to profit from inefficiencies in financial markets. Your role will involve analyzing extensive financial datasets to uncover trading opportunities, utilizing advanced tools like Python, TensorFlow, MATLAB, or Scikit-learn for model development, and leveraging datasets from sources such as Bloomberg, Quandl, NSE/BSE historical data, and alternative data sources. Collaboration with C-suite and upper management to explore new trading opportunities across various asset classes will be a key aspect of your role. You will also backtest and optimize trading strategies to achieve high Sharpe ratios, develop cutting-edge alphas using advanced mathematical techniques, and implement Machine Learning and AI-based methods in ongoing and new strategies. To be successful in this role, you should have at least 3 years of experience in a Quant Trading firm, specializing in Mid-Frequency Trading (MFT) or High-Frequency Trading (HFT). A degree in an analytical field such as Engineering, Mathematics, Finance, or Computer Science from a top-tier institution is preferred. Proficiency in Python, C++, or R, familiarity with tools like TensorFlow, PyTorch, MATLAB, or QuantLib, and knowledge of financial markets and trading systems are essential qualifications. Additionally, experience working in Linux environments, AWS, and cloud operations, a detail-oriented and inquisitive approach to problem-solving, and a strong work ethic with an entrepreneurial mindset are valuable attributes for this role. At PinSec.Ai, we offer uncapped performance bonuses aligned with company and individual success, global exposure through domestic and international team outings, and team engagement with regular social events to foster a collaborative and vibrant work culture.,