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Quantitative Researcher - Intern

at Point72

Back to all Data Science / AI / ML jobs
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Hedge Funds

Quantitative Researcher - Intern

at Point72

InternshipNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
$120,000 – $180,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Internship for students and researchers to apply advanced data modeling and statistical learning techniques to market prediction and systematic trading. Work includes preprocessing very large datasets (validation, cleaning, normalization, dimensionality reduction) and identifying predictive features and relationships. Candidates should be quantitative students (Undergraduate/MS/PhD) with programming experience and a demonstrated interest in financial markets. Role involves independent ownership of tasks as well as collaboration within a small team.

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Quantitative Researcher - Intern Career
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P72 Careers - Header
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Quantitative Researcher - Intern

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Experience

Internships

Location

New York

Focus

Systematic Investing

Business

Cubist

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.


Job Responsibilities

  • Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
  • Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

  • Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Strong analytical and quantitative skills
  • Demonstrated interest in financial markets and systematic trading
  • Clear, concise, and proactive communicator
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. 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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P72 Careers - Footer
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Job Description

\n

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.


Job Responsibilities

\n
  • Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
  • Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

\n
  • Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Strong analytical and quantitative skills
  • Demonstrated interest in financial markets and systematic trading
  • Clear, concise, and proactive communicator
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. 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 Researcher - Intern

at Point72

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Hedge Funds

Quantitative Researcher - Intern

at Point72

InternshipNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
$120,000 – $180,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Internship for students and researchers to apply advanced data modeling and statistical learning techniques to market prediction and systematic trading. Work includes preprocessing very large datasets (validation, cleaning, normalization, dimensionality reduction) and identifying predictive features and relationships. Candidates should be quantitative students (Undergraduate/MS/PhD) with programming experience and a demonstrated interest in financial markets. Role involves independent ownership of tasks as well as collaboration within a small team.

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Quantitative Researcher - Intern Career
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Quantitative Researcher - Intern

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Experience

Internships

Location

New York

Focus

Systematic Investing

Business

Cubist

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.


Job Responsibilities

  • Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
  • Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

  • Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Strong analytical and quantitative skills
  • Demonstrated interest in financial markets and systematic trading
  • Clear, concise, and proactive communicator
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. 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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Job Description

\n

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.


Job Responsibilities

\n
  • Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
  • Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

\n
  • Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Strong analytical and quantitative skills
  • Demonstrated interest in financial markets and systematic trading
  • Clear, concise, and proactive communicator
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. 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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