Quantitative Researcher - New York, NY

About the job Position Summary: The Quantitative Researcher is responsible for identifying and developing alpha-generating trading strategies using quantitative methods. This role will involve extensive data analysis, statistical modeling, algorithmic trading, and collaboration with the Chief Investment Officer and other researchers. Responsibilities: • Alpha Research: o Formulate and prioritize potential investment ideas based on market anomalies, fundamental analysis, and alternative data sources. o Research and analyze relevant academic literature, industry reports, and market data to refine research hypotheses. o Develop and implement quantitative models using statistical tools and machine learning techniques to extract alpha. o Back-test and validate trading strategies across various market conditions and historical periods. • Model Development and Optimization: o Design and build trading algorithms and signal generation methodologies based on model outputs. o Optimize trading strategies for performance, risk management, and transaction costs. o Conduct stress testing and scenario analysis to assess model robustness under different market conditions. o Automate model execution and data integration into the trading platform. • Collaboration and Communication: o Present research findings, trading strategies, and performance analysis to the Chief Investment Officer and senior researchers. o Discuss and refine investment ideas with colleagues, incorporating feedback into research and development. o Stay up-to-date on the latest quantitative research and industry trends through continuous learning and participation in conferences/seminars. o Document research methodologies, model specifications, and trading algorithms for future reference and audit purposes. Qualifications: • Master's degree or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Finance, or a related quantitative field. • Strong track record in quantitative research, statistical modeling, and data analysis. • Proven experience in developing and back-testing trading strategies using quantitative methods. • Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++). • Excellent communication, presentation, and collaboration skills. • Ability to work independently and as part of a team in a fast-paced environment. • Strong understanding of financial markets, instruments, and trading practices. Additional Desired Skills: • Experience with machine learning, artificial intelligence, and natural language processing techniques. • Knowledge of alternative data sources and their application in quantitative research. • Strong mathematical and statistical foundation, including probability theory, time series analysis, and risk management techniques. I Locations New York