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Hedge Funds
Data Scientist
at Point72
GraduateNo visa sponsorshipData Science/AI/ML
Posted 18 hours ago
No clicks
- Compensation
- $100,000 – $150,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Cubist’s Data Services team is hiring a Data Scientist to build and maintain reliable data solutions that power systematic trading and research. The role involves analyzing financial datasets, creating derived data products and ingestion pipelines, and automating qualitative data checks. You will work closely with investment teams and vendors to ensure timely, accurate delivery of data and maintain internal dataset documentation.
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Data Scientist Career
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P72 Careers - Header
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Data Scientist
Apply Now
Experience
Early Career
Location
New York
Focus
Data Science & Analytics | Systematic Data
Business
Cubist
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 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
- 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.
Apply Now
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About Cubist
\nCubist 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
\nWe 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- 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
\n- 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.
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Data Scientist
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
Data Scientist
at Point72
GraduateNo visa sponsorshipData Science/AI/ML
Posted 18 hours ago
No clicks
- Compensation
- $100,000 – $150,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Cubist’s Data Services team is hiring a Data Scientist to build and maintain reliable data solutions that power systematic trading and research. The role involves analyzing financial datasets, creating derived data products and ingestion pipelines, and automating qualitative data checks. You will work closely with investment teams and vendors to ensure timely, accurate delivery of data and maintain internal dataset documentation.
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Data Scientist Career
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P72 Careers - Header
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Data Scientist
Apply Now
Experience
Early Career
Location
New York
Focus
Data Science & Analytics | Systematic Data
Business
Cubist
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 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
- 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.
Apply Now
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About Cubist
\nCubist 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
\nWe 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- 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
\n- 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.
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