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Point72

Senior Data Scientist

Department
Research
Job Type / Location
onsite
Experience Required
5+ years
Posted On

About the Role

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Responsibilities

  • Onboarding novel datasets from a huge variety of sources into our platform
  • Building processes, tools and frameworks to ingest, clean and deliver datasets
  • Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
  • Creation of in-house, value added, derived data products for consumption by investment teams
  • Engaging with vendors and internal stakeholders to understand characteristics of datasets
  • Partnering closely with investment teams to ensure their data requirements are met
  • Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

Requirements

  • PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
  • Strong programming skills in Python and SQL
  • Experience working with AWS, Linux and Airflow preferred but not required
  • 5+ years of experience as a Data Scientist or similar role
  • Experience working with large data sets including predictive modeling
  • Financial industry experience preferred but not required
  • Strong organization, communication and interpersonal skills
  • Intellectual curiosity and enthusiasm for learning
  • Attention to detail and a love of processes
  • Strong oral and written communication skills
  • Ability to multitask and prioritize assignments
  • Commitment to the highest ethical standards

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