Point72 Data Scientist on the Proprietary Research team applying machine learning and statistical techniques to large unstructured data for investment insights. Manage research processes and deliver findings to investment and compliance teams.
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
Staying current on the evolving alternative data market and its role in discretionary investing
Speaking with experts both inside and outside the Firm to understand data needs and offerings
Multi-tasking and switching gears frequently to address the needs of the business
Analytical thinking and ability to sift through large unstructured data sets
Working in a fast-paced, dynamic environment
Working as part of a cross-functional team made up of investment, research, and compliance professionals
Experiment-based approach with freedom to innovate
Excellent attention to detail, organization, and project management skills
Qualification
Fully paid health care benefits
Required
Masters/PhD in a quantitative discipline w/ 1+ year of professional experience
Strong programming skills in Python (preferred), R, Spark, SQL
Exceptional understanding of statistics and advanced modeling techniques
Ability to communicate complex analyses and results clearly
Integrity – You demonstrate 100% commitment to the highest ethical standards
Ownership – You take charge of your work, uphold your commitments, and always do your best
Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
Humility – You welcome and are receptive to feedback and learn from past mistakes
Adaptability – You can triage business needs and context switch quickly and efficiently
Admirability – You elevate the room through your work ethic, domain knowledge, and work product
