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Quantitative Researcher - Intern

at Point72

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Quantitative Researcher - Intern

at Point72

InternshipNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

No clicks

Compensation
$120,000 – $180,000 USD

Currency: $ (USD)

City
New York City, Seattle
Country
United States

**Quantitative Researcher - Intern** - Design and analyze experiments to derive insights from complex data - Proficient in Python, SQL, and statistics (e.g., A/B testing, regression analysis) - Experience with big data tools such as Hadoop, Spark, or Hive - Collaborate with cross-functional teams to drive data-informed decisions - Basic research experience required, undergraduate or master's degree in a quantitative field

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Quantitative Researcher - Intern Career
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P72 Careers - Header
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margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); 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Quantitative Researcher - Intern

Apply Now
Experience

Internships

Location

New York | Seattle

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

  • 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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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
  • 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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Quantitative Researcher - Intern

at Point72

InternshipNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

No clicks

Compensation
$120,000 – $180,000 USD

Currency: $ (USD)

City
New York City, Seattle
Country
United States

**Quantitative Researcher - Intern** - Design and analyze experiments to derive insights from complex data - Proficient in Python, SQL, and statistics (e.g., A/B testing, regression analysis) - Experience with big data tools such as Hadoop, Spark, or Hive - Collaborate with cross-functional teams to drive data-informed decisions - Basic research experience required, undergraduate or master's degree in a quantitative field

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Quantitative Researcher - Intern Career
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P72 Careers - Header
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--p72-line-height-tight: 1.1; --p72-letter-spacing-wide: 0.06em; --p72-typography-heading-xs: var(--p72-font-weight-bold) var(--p72-font-size-heading-xs) / var(--p72-line-height-tight) var(--p72-font-family-secondary); --p72-color-brand-cream: #f5f4ee; --p72-color-brand-gold: #b08725; --p72-color-brand-slate: #505a6b; --p72-color-brand-charcoal: #18181a; --p72-color-background: var(--p72-color-brand-charcoal); --p72-color-content: var(--p72-color-brand-cream); --p72-color-content-stronger: var(--p72-color-brand-gold); --p72-color-border: var(--p72-color-brand-slate); --p72-cookie-consent-height: 0px; --p72-icon-size-sm: 0.9375rem; } /* ========================================================= Utility: u-hide-after--md Hidden after medium breakpoint ========================================================= */ @media (min-width: 769px) { .u-hide-after--md { display: none !important; } } /* ========================================================= Utility: u-spacing--lg Adds large vertical spacing between direct children ========================================================= */ .u-spacing--lg > * + * { margin-top: 2rem; margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); visibility: visible; } body.c-menu-mobile-is-active { overflow: hidden; } } /* ========================================================= Mobile Menu Item ========================================================= */ .c-menu-mobile__menu-item { border-bottom: 1px solid #505a6b; border-bottom: var(--p72-border-width) solid var(--p72-color-border); display: flex; flex-flow: column nowrap; gap: 0.25rem; gap: var(--p72-space-xxs); overflow: hidden; width: 100%; } /* ========================================================= Mobile Menu Link / Button ========================================================= */ .c-menu-mobile__link { align-items: center; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; font: 700 1.25rem/1.1 Aptos, sans-serif; font: var(--p72-typography-heading-xs); gap: 0.25rem; gap: var(--p72-space-xxs); justify-content: space-between; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); 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text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; 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Quantitative Researcher - Intern

Apply Now
Experience

Internships

Location

New York | Seattle

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

  • 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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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
  • 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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