Quantitative Researcher

Posted 9 Days Ago
Be an Early Applicant
London, Greater London, England
1-3 Years Experience
Financial Services
The Role
Perform rigorous and innovative research to discover systematic anomalies in global macro markets. Manage research pipeline end-to-end, including signal idea generation, data processing, modeling, and implementation. Contribute to scalable research analysis framework.
Summary Generated by Built In

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/RESPONSIBILITIES

  • Perform rigorous and innovative research to discover systematic anomalies in global macro markets (futures, FX, etc.)
  • Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in mid frequency trading space
  • Perform feature combination and monetization using various modeling techniques
  • Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
  • Maintain and improve portfolio trading in a production environment
  • Contribute to the analysis framework for scalable research

REQUIREMENTS

  • Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics
  • 2+ years of signal research experience in macro trading as part of a trading team
  • Prior professional experience with feature engineering, modeling, or monetization
  • Ability to efficiently format and manipulate large, raw data sources
  • Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
  • Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques
  • Collaborative mindset with strong independent research abilities
  • Commitment to the highest ethical standards 

Top Skills

C/C++
Python
R
The Company
HQ: Stamford, CT
1,691 Employees
On-site Workplace
Year Founded: 2014

What We Do

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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