Quantitative Researcher

Reposted 20 Days Ago
London, Greater London, England, GBR
In-Office
Entry level
Financial Services
The Role
The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.
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:

A new Cubist portfolio management team specializing in the systematic trading of equities is looking for a Quant Researcher whose core focus will be working on mid-frequency alpha strategies. Joining the team will provide a unique opportunity to be involved with the early stages of a product launch and develop within a growing team.

Responsibilities:

  • Perform rigorous and innovative research to discover systematic anomalies in the equities market
  • End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation
  • Identify and evaluate new datasets for stock return prediction
  • Maintain and improve portfolio trading in a production environment
  • Contribute to the analysis framework for scalable research

Requirements:

  • MS or PhD in a quantitative discipline
  • 0-2 years of professional work experience
  • A background in financial markets is not necessary, but an interest in the field is essential
  • Proven expertise in Python and handling large datasets
  • Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus
  • Highly motivated, curious, and critical thinker
  • Collaborative mindset with strong independent research abilities
  • Commitment to the highest ethical standards

Skills Required

  • MS or PhD in a quantitative discipline
  • 0-2 years of professional work experience
  • Proven expertise in Python and handling large datasets
  • Fluency in data science practices, e.g., feature engineering
  • Experience with machine learning is a plus

Point72 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Point72 and has not been reviewed or approved by Point72.

  • Healthcare Strength Healthcare coverage is described as exceptional with comprehensive options and low out-of-pocket costs. Medical, dental, and vision are characterized as fully covered or no-premium for U.S. employees.
  • Retirement Support The 401(k) program features a generous employer match and access to after-tax contributions with in-plan Roth conversions. Value accrues through a multi-year vesting schedule that rewards tenure.
  • Parental & Family Support Parental and family leave is highlighted as generous and has strengthened over time. Clear primary and secondary caregiver policies are in place and seen as competitive.

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The Company
HQ: Stamford, CT
1,691 Employees
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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