Quant Researcher Experience: 3+ years in a Quant Trading firm (MFT/HFT) About Us PinSec.Ai is a fast-growing quantitative proprietary trading firm focused on leveraging data-driven insights to excel in the financial markets. With an unwavering commitment to innovation, we are expanding our operations across Indian and global markets. At PinSec.Ai, we seek talented individuals who are passionate about data, numbers, and solving complex real-time problems. We employ a disciplined and systematic quantitative approach to uncover factors that consistently generate alpha. These factors are seamlessly integrated with our in-house high-speed trading systems and robust risk management frameworks to create cutting-edge trading strategies across various asset classes, including equities, commodities, and currencies. While our primary focus has been the Indian Equity Markets, we are rapidly expanding to global exchanges to broaden our reach and impact. Responsibilities As a Quantitative Researcher, you will: 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 (e.g., social sentiment, macroeconomic indicators). 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 Our ideal candidate will have: 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. Our Perks Uncapped Performance Bonuses: Aligned with company and individual success. Global Exposure: Domestic and international team outings for collaboration and networking. Team Engagement: Regular social events to foster a collaborative and vibrant work culture.,
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Employement Type: Full timeIndustry: BFSIRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Quantitative Researcher Job in PinSec.Ai at