Quantitative Researcher - New York, NY
Job Description
Job DescriptionAbout 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