Cubist Senior Data Scientist

Job description

**ROLE** We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. 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