Cubist's data services group is hiring a Data Scientist to deliver timely, accurate data and maintain data infrastructure that supports systematic portfolio managers. The role involves identifying and integrating data sources, monitoring automated data collection and cleansing pipelines, and handling user requests and vendor trials. You will work in a small team to ensure production trading data reliability across equities, futures and options, while assisting with manual processing, documentation and stakeholder coordination. Basic Python and SQL skills are required; experience with AWS and Airflow is preferred.
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 Scientist 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 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
Identifying potential data sources
Coordinate with compliance team and legal team on new vendor trial/subscription process
Assist with collecting and maintaining overviews and vendor content offering
Assist with data questions and requests from investment teams
Setting up feed download and monitor check in database
Monitoring the automated data collection and cleansing infrastructure
Coordinating meetings and conference calls between data users and experts.
Assist in organizing presentations
Handle user requests and answer questions about data
Download trial datasets from vendor FTP sites or other delivery mechanism
Assist Data Team with manual data processing as required
Maintain Cubist Data Wiki contents
Requirements
Basic level programming experience 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
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Role
\n
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 Scientist 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 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
\n
Identifying potential data sources
Coordinate with compliance team and legal team on new vendor trial/subscription process
Assist with collecting and maintaining overviews and vendor content offering
Assist with data questions and requests from investment teams
Setting up feed download and monitor check in database
Monitoring the automated data collection and cleansing infrastructure
Coordinating meetings and conference calls between data users and experts.
Assist in organizing presentations
Handle user requests and answer questions about data
Download trial datasets from vendor FTP sites or other delivery mechanism
Assist Data Team with manual data processing as required
Maintain Cubist Data Wiki contents
Requirements
\n
Basic level programming experience 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
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Cubist's data services group is hiring a Data Scientist to deliver timely, accurate data and maintain data infrastructure that supports systematic portfolio managers. The role involves identifying and integrating data sources, monitoring automated data collection and cleansing pipelines, and handling user requests and vendor trials. You will work in a small team to ensure production trading data reliability across equities, futures and options, while assisting with manual processing, documentation and stakeholder coordination. Basic Python and SQL skills are required; experience with AWS and Airflow is preferred.
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 Scientist 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 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
Identifying potential data sources
Coordinate with compliance team and legal team on new vendor trial/subscription process
Assist with collecting and maintaining overviews and vendor content offering
Assist with data questions and requests from investment teams
Setting up feed download and monitor check in database
Monitoring the automated data collection and cleansing infrastructure
Coordinating meetings and conference calls between data users and experts.
Assist in organizing presentations
Handle user requests and answer questions about data
Download trial datasets from vendor FTP sites or other delivery mechanism
Assist Data Team with manual data processing as required
Maintain Cubist Data Wiki contents
Requirements
Basic level programming experience 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
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Role
\n
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 Scientist 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 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
\n
Identifying potential data sources
Coordinate with compliance team and legal team on new vendor trial/subscription process
Assist with collecting and maintaining overviews and vendor content offering
Assist with data questions and requests from investment teams
Setting up feed download and monitor check in database
Monitoring the automated data collection and cleansing infrastructure
Coordinating meetings and conference calls between data users and experts.
Assist in organizing presentations
Handle user requests and answer questions about data
Download trial datasets from vendor FTP sites or other delivery mechanism
Assist Data Team with manual data processing as required
Maintain Cubist Data Wiki contents
Requirements
\n
Basic level programming experience 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
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