Alpha Research: Conduct hypothesis-driven research, designing and testing predictive signals used to forecast asset prices across domains.
Data Analysis: Extract and analyze large datasets from a variety of structured and unstructured sources to identify patterns and anomalies that inform trading decisions.
Statistical Modeling: Build and improve machine learning and optimization systems used to make predictions or risk manage portfolios.
Research Tools: Build and maintain sophisticated tools and software to facilitate data analysis, modeling, portfolio simulation, and trade execution.
Skills & Qualifications
Bachelor’s or advanced degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Operations Research, or a related field.
Demonstrated ability to think independently, build creative approaches to complex problems, and articulate those ideas clearly through verbal, written, and visual media.
Strong analytical, mathematical, and statistical modeling / machine learning skills exhibited by real-world research projects and / or code repositories.
Programming proficiency, preferably in R, Python, and/or Java, as well as databases and/or query languages.
Passion for financial markets, investing, and trading.