Quantitative Researcher - Machine Learning

Reposted 2 Days Ago
Lyndon, NY, USA
In-Office
Mid level
Financial Services
The Role
Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.
Summary Generated by Built In

JOB RESPONSIBILITIES:

A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.

We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.

Key responsibilities may include:

  • Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
  • Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
  • Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:

  • Master’s or PhD in machine learning, computer science, statistics, or related fields.
  • Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
  • Prior research experience utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and a detail-oriented mindset.
  • Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
  • Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Commitment to the highest ethical standards.

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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