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Hedge Funds
Quantitative Software Developer
at Point72
JuniorNo visa sponsorshipPython
Posted 18 days ago
No clicks
- Compensation
- $125,000 – $175,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join Cubist’s data services team to build and maintain scalable, reliable data infrastructure that supports systematic portfolio managers. You will develop processes and tools to ingest, tag, clean, and enrich datasets, primarily using Python, and contribute to systems written also in Go and C++. The role involves monitoring and improving automated data pipelines, collaborating with data scientists, and researching technologies for efficient data management and retrieval.
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Quantitative Software Developer Career
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Quantitative Software Developer
Apply Now
Experience
Early Career
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities:
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 junior Quantitative Software Developer 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 and software developers 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 include:
- Building processes and technology tools to ingest, tag and clean datasets.
- Assisting Data Scientists with data processing, enrichment, and product development.
- Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Researching new technologies for improved data management and efficient retrieval.
Requirements:
- B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
- Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
- Proficiency with Go and/or C++ is not required but is a big plus
- Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
- Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
- Intellectual curiosity and a love of learning.
- Strong oral and written communication skills.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $125,000-$175,000 (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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Role/Responsibilities:
\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 junior Quantitative Software Developer 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 and software developers 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 include:
\n- Building processes and technology tools to ingest, tag and clean datasets.
- Assisting Data Scientists with data processing, enrichment, and product development.
- Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Researching new technologies for improved data management and efficient retrieval.
Requirements:
\n- B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
- Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
- Proficiency with Go and/or C++ is not required but is a big plus
- Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
- Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
- Intellectual curiosity and a love of learning.
- Strong oral and written communication skills.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $125,000-$175,000 (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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Quantitative Software Developer
at Point72
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Hedge Funds
Quantitative Software Developer
at Point72
JuniorNo visa sponsorshipPython
Posted 18 days ago
No clicks
- Compensation
- $125,000 – $175,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Join Cubist’s data services team to build and maintain scalable, reliable data infrastructure that supports systematic portfolio managers. You will develop processes and tools to ingest, tag, clean, and enrich datasets, primarily using Python, and contribute to systems written also in Go and C++. The role involves monitoring and improving automated data pipelines, collaborating with data scientists, and researching technologies for efficient data management and retrieval.
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Quantitative Software Developer Career
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Quantitative Software Developer
Apply Now
Experience
Early Career
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities:
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 junior Quantitative Software Developer 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 and software developers 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 include:
- Building processes and technology tools to ingest, tag and clean datasets.
- Assisting Data Scientists with data processing, enrichment, and product development.
- Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Researching new technologies for improved data management and efficient retrieval.
Requirements:
- B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
- Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
- Proficiency with Go and/or C++ is not required but is a big plus
- Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
- Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
- Intellectual curiosity and a love of learning.
- Strong oral and written communication skills.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $125,000-$175,000 (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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Role/Responsibilities:
\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 junior Quantitative Software Developer 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 and software developers 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 include:
\n- Building processes and technology tools to ingest, tag and clean datasets.
- Assisting Data Scientists with data processing, enrichment, and product development.
- Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Researching new technologies for improved data management and efficient retrieval.
Requirements:
\n- B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
- Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
- Proficiency with Go and/or C++ is not required but is a big plus
- Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
- Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
- Intellectual curiosity and a love of learning.
- Strong oral and written communication skills.
- Commitment to the highest ethical standards.
The annual base salary range for this role is $125,000-$175,000 (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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