Point72
Join to apply for the Data Analyst role at Point72
Join to apply for the Data Analyst role at Point72
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, 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 Point72, 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
Requirements
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
The annual base salary range for this role is $100,000-$150,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Seniority level Seniority level Entry level
Employment type Employment type Full-time
Job function Job function Information Technology
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