Point72

Cubist Data Scientist

New York · Work style not stated

Posted over 6 months ago: check it’s still open

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About the role

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EmployerPoint72
LocationNew York
Work styleWork style not stated
Employer posted2 years ago

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 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
Develop, test and deploy data pipelines, applications and services
Re-shaping, aggregating, enhancing and creating features from datasets
Engaging with vendors and internal stakeholders to understand characteristics of datasets
Defining and automating qualitative data alerts and reports
Partnering closely with investment teams to ensure their data requirements are met
Perform preliminary analysis and research to be shared with investment teams

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REQUIREMENTS

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
Financial industry experience preferred but not required
Strong organization, communication and interpersonal skills
Attention to detail and a love of processes
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
Commitment to the highest ethical standards

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