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Quantitative Researcher – Machine Learning

at Point72

GraduateNo visa sponsorshipData Science/AI/ML

Posted 21 hours ago

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Compensation: $150,000 – $250,000 USD
City: New York City, London, Hong Kong
Country: United States, United Kingdom, China

**Quantitative Researcher – Machine Learning** drives data-driven insights, focusing on machine learning algorithms. **Key responsibilities** include designing and conducting experiments, analyzing complex datasets, and translating findings into actionable strategies. **Required skills** include proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). **Experience** of 3-5 years in a similar role is preferred. Familiarity with cloud platforms (AWS, GCP) and data visualization tools (Tableau, Looker) is beneficial.

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Quantitative Researcher – Machine Learning 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; display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; 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Quantitative Researcher – Machine Learning

Apply Now

Experience

Early Career

Location

New York | London | Hong Kong

Focus

Systematic Investing

Business

Cubist

Job Responsibilities

A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.

We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.

Key responsibilities may include:

Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

Desirable Candidates

Master’s or PhD in machine learning, computer science, statistics, or related fields.
Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
Prior research experience utilizing machine learning over large, possibly noisy, data sets.
Strong analytical and quantitative skills, and a detail-oriented mindset.
Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
Commitment to the highest ethical standards.

The annual base salary range for this role is $150,000-$250,000 (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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Job Responsibilities

Key responsibilities may include:

Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

Desirable Candidates

Master’s or PhD in machine learning, computer science, statistics, or related fields.
Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
Prior research experience utilizing machine learning over large, possibly noisy, data sets.
Strong analytical and quantitative skills, and a detail-oriented mindset.
Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
Commitment to the highest ethical standards.

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