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Two Sigma

Quantitative finance firm building predictive models

Quantitative Researcher: Machine Learning

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A degree in a technical or quantitative discipline, such as statistics, mathematics, physics, electrical engineering, or computer science; bachelor's through doctorate degree holders are welcome.
  • Intermediate skills in at least one programming language, such as C, C++, Java, or Python.
  • Understanding of machine learning algorithms and the ability to modify them as needed.
  • Experience applying machine learning to real-world datasets.
  • Published work in journals and/or presentations at conferences.

Responsibilities

  • Use a rigorous scientific method to develop sophisticated trading models and shape insights into how markets will behave.
  • Apply machine learning to a wide array of datasets.
  • Create and test complex investment ideas and partner with engineers to test hypotheses.
  • Join reading circles to stay up to date on the latest research papers in the field.
  • Attend academic seminars to learn from thought leaders from top universities.
  • Share insights from conferences focused on statistics, machine learning, and data science.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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