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Hedge Funds
Quantitative Researcher
at Point72
JuniorNo visa sponsorshipData Science/AI/ML
Posted a day ago
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- Compensation
- Not specified
- City
- Dubai
- Country
- United Arab Emirates
Currency: Not specified
Entry-level quantitative researcher within Cubist Systematic Strategies focused on predictive modelling and quantitative portfolio management. You will conduct original research, manage the end-to-end research process (idea generation, data analysis, hypothesis testing, implementation) and collaborate with researchers to monetize trading strategies. The role involves building analytical tools, applying data science practices (feature engineering, ML techniques) and contributing to portfolio construction work. Strong Python programming and working knowledge of SQL are required.
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Quantitative Researcher Career
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P72 Careers - Header
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Quantitative Researcher
Apply Now
Experience
Early Career
Location
Dubai, UAE
Focus
Systematic Investing
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
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
- Conduct original research in quantitative portfolio management.
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis testing, and implementation.
- Follow, digest and analyze the latest academic research.
- Build analytical tools to supplement our shared research framework.
Requirements
- 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, computer science.
- Programming in Python (or comparable language) and working knowledge of SQL.
- Fluency in data science practices, e.g. feature engineering. Experience with machine learning is a plus.
- Highly motivated, curious, and critical thinker.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
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
\nEntry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
\n- Conduct original research in quantitative portfolio management.
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis testing, and implementation.
- Follow, digest and analyze the latest academic research.
- Build analytical tools to supplement our shared research framework.
Requirements
\n- 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, computer science.
- Programming in Python (or comparable language) and working knowledge of SQL.
- Fluency in data science practices, e.g. feature engineering. Experience with machine learning is a plus.
- Highly motivated, curious, and critical thinker.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
\n
\n
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Quantitative Researcher
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
Quantitative Researcher
at Point72
JuniorNo visa sponsorshipData Science/AI/ML
Posted a day ago
No clicks
- Compensation
- Not specified
- City
- Dubai
- Country
- United Arab Emirates
Currency: Not specified
Entry-level quantitative researcher within Cubist Systematic Strategies focused on predictive modelling and quantitative portfolio management. You will conduct original research, manage the end-to-end research process (idea generation, data analysis, hypothesis testing, implementation) and collaborate with researchers to monetize trading strategies. The role involves building analytical tools, applying data science practices (feature engineering, ML techniques) and contributing to portfolio construction work. Strong Python programming and working knowledge of SQL are required.
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Quantitative Researcher Career
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P72 Careers - Header
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Quantitative Researcher
Apply Now
Experience
Early Career
Location
Dubai, UAE
Focus
Systematic Investing
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
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
- Conduct original research in quantitative portfolio management.
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis testing, and implementation.
- Follow, digest and analyze the latest academic research.
- Build analytical tools to supplement our shared research framework.
Requirements
- 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, computer science.
- Programming in Python (or comparable language) and working knowledge of SQL.
- Fluency in data science practices, e.g. feature engineering. Experience with machine learning is a plus.
- Highly motivated, curious, and critical thinker.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
Apply Now
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P72 Careers - Footer
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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
\nEntry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
\n- Conduct original research in quantitative portfolio management.
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis testing, and implementation.
- Follow, digest and analyze the latest academic research.
- Build analytical tools to supplement our shared research framework.
Requirements
\n- 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, computer science.
- Programming in Python (or comparable language) and working knowledge of SQL.
- Fluency in data science practices, e.g. feature engineering. Experience with machine learning is a plus.
- Highly motivated, curious, and critical thinker.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
\n
\n
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