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Quantitative Finance Researcher

at Point72

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Quantitative Finance Researcher

at Point72

Mid LevelNo visa sponsorshipPython

Posted 21 hours ago

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Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Taiwan

**Quantitative Finance Researcher** leads cross-asset research, developing predictive models and trading strategies using advanced analytics, AI, and machine learning. Key responsibilities involve designing and running A/B tests, backtesting trading strategies, and collaborating with portfolio managers to implement findings. Proven expertise in Python, C++, and R, along with strong statistical skills and an advanced degree in a quantitative field are essential. Minimum 2+ years of experience in quantitative research or trading roles required.

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Quantitative Finance Researcher Career
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P72 Careers - Header
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Quantitative Finance Researcher

Apply Now
Experience

Experienced Professionals

Location

Taipei City

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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Desirable Candidates

  • M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
  • Programming in any of the following: C++, C#, Java, or Python.
  • Strong analytical and quantitative skills.
  • Keen interest in quantitative research and metrics driven decision making.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Detail-oriented.
  • Passion for spotting trends in data.
  • Willingness to take ownership of his/her work, working both independently and within a small team.
  • Ability to work under pressure.

Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

Apply Now

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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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Desirable Candidates

  • M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
  • Programming in any of the following: C++, C#, Java, or Python.
  • Strong analytical and quantitative skills.
  • Keen interest in quantitative research and metrics driven decision making.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Detail-oriented.
  • Passion for spotting trends in data.
  • Willingness to take ownership of his/her work, working both independently and within a small team.
  • Ability to work under pressure.

Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

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Quantitative Finance Researcher

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Quantitative Finance Researcher

at Point72

Mid LevelNo visa sponsorshipPython

Posted 21 hours ago

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Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Taiwan

**Quantitative Finance Researcher** leads cross-asset research, developing predictive models and trading strategies using advanced analytics, AI, and machine learning. Key responsibilities involve designing and running A/B tests, backtesting trading strategies, and collaborating with portfolio managers to implement findings. Proven expertise in Python, C++, and R, along with strong statistical skills and an advanced degree in a quantitative field are essential. Minimum 2+ years of experience in quantitative research or trading roles required.

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Quantitative Finance Researcher Career
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P72 Careers - Header
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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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It runs immediately. */ const cards = trigger.querySelectorAll(".js-card-animate"); if (cards.length > 0) { console.log("Found cards to animate:", cards.length); gsap.set(cards, { opacity: 0, y: 12, filter: "blur(0.5px)", clearProps: "none", }); gsap.to(cards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.3, ease: "power2.out", stagger: 0.03, delay: 0.05, }); } }); /** * Generic scroll class trigger */ gsap.utils.toArray(".u-scroll-animation").forEach((element) => { ScrollTrigger.create({ trigger: element, start: "top 90%", onEnter: () => { element.classList.add("u-scroll-animate"); }, }); }); } /* ========================================================================== Load-more card animation ========================================================================== */ function initLoadMoreScrollRelatedAnimation() { if (typeof jQuery === "undefined") { console.warn("jQuery is not available."); return; } if (typeof gsap === "undefined") { console.warn("GSAP is not available."); 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return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); new Swiper(".js-timeline", { slidesPerView: 1, spaceBetween: "-10%", breakpoints: { 640: { slidesPerView: 2, }, 768: { slidesPerView: 3, }, 1024: { slidesPerView: 4, }, 1200: { slidesPerView: 5, }, }, direction: "horizontal", freeMode: true, navigation: { nextEl: ".swiper-button-next", prevEl: ".swiper-button-prev", }, }); } /* ========================================================================== Optional: Posts slider horizontal drag/scroll behavior ========================================================================== */ class PostsSlider { constructor() { this.sliders = document.querySelectorAll(".js-posts-slider"); this.swiperInstances = []; this.init(); } init() { if (!this.sliders.length) return; if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); this.sliders.forEach((slider) => { const container = slider.querySelector(".js-posts-slider-container"); 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Quantitative Finance Researcher

Apply Now
Experience

Experienced Professionals

Location

Taipei City

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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Desirable Candidates

  • M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
  • Programming in any of the following: C++, C#, Java, or Python.
  • Strong analytical and quantitative skills.
  • Keen interest in quantitative research and metrics driven decision making.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Detail-oriented.
  • Passion for spotting trends in data.
  • Willingness to take ownership of his/her work, working both independently and within a small team.
  • Ability to work under pressure.

Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

Apply Now

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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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Desirable Candidates

  • M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
  • Programming in any of the following: C++, C#, Java, or Python.
  • Strong analytical and quantitative skills.
  • Keen interest in quantitative research and metrics driven decision making.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Detail-oriented.
  • Passion for spotting trends in data.
  • Willingness to take ownership of his/her work, working both independently and within a small team.
  • Ability to work under pressure.

Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

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