The firm is looking to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets.
Requirements
- Demonstrated interest in machine learning, statistical models, and data mining tools
- Strong programming skills in Python (preferred), R, Spark, SQL
- Exceptional understanding of statistics and advanced modeling techniques
Responsibilities
- Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques
- Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
- Deliver research findings to investment teams, portfolio managers, and other internal clients
- Work within a team to help drive technical innovation through a collaborative R&D process
Other
- Excellent attention to detail, organization, and project management skills
- Strong verbal and written communication skills
- Superb business intuition and a solution orientated, methodological approach to problem solving
- Ability to collaborate and build relationships across business units within the Firm
- Bachelor/Masters in a quantitative discipline w/ 1+ year of professional experience