Data Scientist

Join to apply for the Data Analyst role at Point
72

Join to apply for the Data Analyst role at Point
72

About Cubist

Cubist Systematic Strategies, an affiliate of Point
72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Cubist

Cubist Systematic Strategies, an affiliate of Point
72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

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 group is looking for a Data Analyst to join our dedicated 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.

This exceptional individual will be a member of a small team of Data Scientists/Analysts who 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

• Analyzing financial datasets and preparing reports for investment teams
• Creating derived data content and data ingestion pipelines
• Identifying potential data sources
• Engaging with vendors to understand characteristics of datasets
• Defining and automating qualitative data checks
• Assist with data questions and requests from investment teams
• Creating and maintaining internal documentation on datasets

• Strong programming skills in Python and SQL. Experience with AWS and Airflow preferred but not required
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Attention to detail and a love of process
• Strong oral and written communication skills
• Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
• Ability to multitask and prioritize assignments

• Seniority level
  
  Entry level

• Employment type
  
  Full-time

• Job function
  
  Information Technology

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