RESPONSIBILITIES
• Analyze large structured and unstructured data sets such as internal trade data, risk data, fundamental data, and sentiment data
• Conduct innovative and scientific research to process and analyze new and non-traditional datasets looking for predictive power
• Identify and manage new datasets that support investment decisions
• Introduce new approaches, tools, and prototypes
• Deliver research findings to senior management and recommend investment ideas
REQUIREMENTS:
• A commitment to high ethical standards
• PhD in statistics, computer science, or mathematics with research experience in at least one of the following areas: statistical analysis, data mining, big data, machine learning, natural language processing, or operations research.
• Experience with real-world datasets (e.g., data cleaning and mapping data from difference sources).
• Good programming skills in statistical languages such as R, Matlab, Python, or SQL.
• Strong communication skills and ability to explain complex models in simple terms.
• Two or more years of work experience in active equities investing.
• The ability to work cooperatively with all levels of staff and who thrive on working in a team-oriented environment.