Macro Quantitative Researcher

Reposted 12 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
Mid level
Financial Services
The Role
The Macro Quantitative Researcher will develop systematic signals for macro markets, manage research pipelines, and improve trading models using various techniques.
Summary Generated by Built In

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:

  • Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets
  • Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in the mid-frequency space
  • Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
  • Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets

Responsibilities:

  • Develop systematic trading models across global futures (equity indices, commodities and fixed income) and/or FX markets
  • Alpha idea generation, backtesting, and implementation
  • Evaluate new datasets for alpha potential
  • Contribute to and enhance portfolio optimization, allocation and risk management processes
  • Help drive the growth of the investment process and research capabilities of the team
  • 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 signal research or portfolio management experience in futures markets and/or FX as part of a successful proprietary trading team with a track record
  • Prior professional experience with signal combination, portfolio optimization and risk management
  • 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

Skills Required

  • MS or PhD in a quantitative field
  • 2+ years of signal research experience
  • Demonstrated proficiency in Python, R, or C/C++
  • Strong foundation in statistics

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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