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Equity Quantitative Researcher

at Point72

JuniorNo visa sponsorshipPython

Posted a day ago

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Compensation: $150,000 – $200,000 USD
City: New York City
Country: United States

**Equity Quantitative Researcher:** Develop and implement quantitative models to inform Point72's equity strategies. Key responsibilities include designing and backtesting trading algorithms, conducting financial analysis, and collaborating with cross-functional teams. Required skills: strong Python programming, finance-related modeling, andpvars("ov". splicetbx(var,"lb",isstring=0) &amp;amp;amp; pvars("bl", splicetbx(var,"lb",isstring=0) &amp;amp;amp;pypyStats and Pandas libraries. Minimum 3 years of equity research experience.

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Equity Quantitative Researcher Career

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P72 Careers - Header

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Equity Quantitative Researcher

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Experience

Experienced Professionals

Location

New York

Focus

Systematic Investing

Business

Cubist

Role/Responsibilities

Perform rigorous and innovative research to discover systematic anomalies in equity market
End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation
Identify and evaluate new datasets for stock return predictions
Maintain and improve the portfolio trading in production environment

Requirements

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics
1+ years of work experience in systematic alpha research in equities
Experience developing short term alpha signals (intraday or a few days) is a plus
Demonstrated proficiency in R or Python
Strong command of foundations of applied statistics, linear algebra, and time series models
Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
Strong knowledge of financial markets
Highly motivated, willing to take ownership of his/her work
Collaborative mindset with strong independent research ability

The annual base salary range for this role is $150,000-$200,000 (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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Role/Responsibilities

Perform rigorous and innovative research to discover systematic anomalies in equity market
End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation
Identify and evaluate new datasets for stock return predictions
Maintain and improve the portfolio trading in production environment

Requirements

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics
1+ years of work experience in systematic alpha research in equities
Experience developing short term alpha signals (intraday or a few days) is a plus
Demonstrated proficiency in R or Python
Strong command of foundations of applied statistics, linear algebra, and time series models
Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
Strong knowledge of financial markets
Highly motivated, willing to take ownership of his/her work
Collaborative mindset with strong independent research ability

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