Quantitative Researcher

Job Title : Quantitative Researcher – High Frequency Trading Location : Global About Us : Join a globally recognized High Frequency Trading (HFT) firm that thrives at the intersection of technology and finance . We leverage advanced mathematical models, cutting-edge technology, and world-class talent to execute trades in financial markets with speed and precision. We are looking for exceptional minds to join our elite team of quantitative researchers. Who Should Apply : We’re seeking candidates with exceptional academic backgrounds from top-tier institutions such as IITs, IIMs, ISI, IISc , or global equivalents . If you are passionate about solving complex mathematical problems, love working with data, and want to shape the future of trading, we want to hear from you. Key Responsibilities : Research and Strategy Development : Develop and test quantitative models to identify profitable trading opportunities. Analyze large-scale datasets for statistical patterns and trading insights. Build and optimize high-performance algorithms for financial markets. Mathematical and Statistical Modeling : Utilize advanced statistical techniques, machine learning, and optimization methods to design innovative trading strategies. Continuously refine models to adapt to changing market dynamics. Data Analysis and Backtesting : Conduct thorough backtesting of trading strategies using historical data. Implement rigorous validation techniques to ensure model robustness and reliability. Collaboration : Work closely with engineers to integrate models into trading systems. Collaborate with traders to align strategies with market behavior and execution constraints. Qualifications : Degree in Mathematics , Statistics , Computer Science , Physics , Engineering , or related fields from a top-tier institution . Strong analytical and problem-solving skills with a deep understanding of mathematical concepts, statistical analysis, and probability theory. Proficiency in programming languages such as Python, R, C++, or Java . Familiarity with machine learning techniques and frameworks is a strong plus. Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced environment. Prior experience in quantitative research, algorithmic trading, or data analysis is advantageous but not mandatory. Why Join Us? Be part of a collaborative and intellectually stimulating environment where your ideas drive success. Access to cutting-edge technology and resources to build world-class trading solutions. Competitive compensation, performance-based bonuses, and unparalleled career growth opportunities. Work in an industry-leading firm at the forefront of financial innovation. How to Apply : If you have an exceptional academic record, a passion for solving complex problems, and a desire to excel in the high-stakes world of HFT, submit your application now!