Quantitative Researcher

The position of Quant Researcher based in Gurgaon requires a highly motivated and analytical individual with over 2 years of experience in quantitative trading or research roles. As a Quantitative Trader, your primary responsibility will involve designing, implementing, and executing data-driven trading strategies across various asset classes. You will be operating in a fast-paced and collaborative environment that values creativity, precision, and agility. Key Responsibilities: - Develop, backtest, and deploy algorithmic trading strategies by utilizing historical and real-time market data. - Monitor and manage the performance of live strategies, continuously optimizing and refining models based on results and market behavior. - Conduct thorough quantitative research to identify alpha signals and enhance existing models. - Collaborate with developers and researchers to improve trading infrastructure, data pipelines, and execution systems. - Analyze risks and uphold robust risk management practices throughout all trading activities. - Keep abreast of market trends, regulatory changes, and advancements in trading technologies. Requirements: - Possess a Bachelors, Masters, or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering. - Demonstrated 2+ years of experience in a quantitative trading or research role, with internships also considered for junior positions. - Proficient programming skills in Python, C++, or Java, with a preference for Python. - Experience in data analysis, statistical modeling, and backtesting frameworks. - Sound knowledge of financial markets, trading instruments, and market microstructure. - Familiarity with tools like Pandas, NumPy, scikit-learn, KDB+/q, or equivalents. - Strong problem-solving abilities, attention to detail, and the capacity to perform under pressure. Preferred Qualifications: - Prior experience in high-frequency or low-latency trading environments. - Understanding of machine learning or deep learning techniques. - Exposure to cryptocurrencies, futures, options, or other derivatives. - Familiarity with FIX protocol or experience in working with trading APIs.,