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