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Microstructure Quantitative Researcher

at Point72

Mid LevelNo visa sponsorshipPython

Posted 21 hours ago

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Compensation: $200,000 – $300,000 USD
City: New York City
Country: United States

**Microstructure Quantitative Researcher:** Develop and maintain quantitative trading models, leveraging Python, C++, Git, and high-frequency dataset analysis. Mid-level candidates with 3-7 years' experience in microstructure-related quantitative research or relevant financial trading roles required. Proven track record in algorithmic development, statistical analysis, and optimization.

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Microstructure Quantitative Researcher 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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Microstructure Quantitative Researcher

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Experience

Experienced Professionals

Location

New York

Focus

Systematic Investing

Business

Point72

About the Team:

A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional in the intraday to mid frequency systematic macro space. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business.

Role/Responsibilities:

Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals
Perform feature engineering with order book tick data at intraday to daily horizons
Perform feature combination using various modeling techniques ranging from linear to machine learning models
Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
Help drive the growth of the investment process and research capabilities of the team
Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Assist in building, maintenance, and continual improvement of production and trading environments

Requirements:

MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record
Knowledge of market microstructure for futures and/or FX
Prior experience with tick data based feature generation, modelling, and monetization
Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
Collaborative mindset with strong independent research abilities
Commitment to the highest ethical standards

The annual base salary range for this role is $200,000-$300,000 (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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About the Team:

Role/Responsibilities:

Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals
Perform feature engineering with order book tick data at intraday to daily horizons
Perform feature combination using various modeling techniques ranging from linear to machine learning models
Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
Help drive the growth of the investment process and research capabilities of the team
Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Assist in building, maintenance, and continual improvement of production and trading environments

Requirements:

MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record
Knowledge of market microstructure for futures and/or FX
Prior experience with tick data based feature generation, modelling, and monetization
Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
Collaborative mindset with strong independent research abilities
Commitment to the highest ethical standards

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