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Two Sigma

Quantitative finance firm building predictive models

Quantitative Software Engineer

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

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science, Applied Mathematics, or a related technical field.
  • At least 1 year of experience.
  • Professional experience building quantitative software in at least one area: quantitative finance, mathematics/statistics/numerical methods, or machine learning/deep learning.
  • Experience applying technologies and libraries such as NumPy, SciPy, or scikit-learn.
  • Experience with scientific computing and algorithm development.
  • Knowledge of scripting languages such as Python.

Responsibilities

  • Become an authority on systems underpinning the research areas of machine learning, finance, and/or quantitative algorithms, and help evolve those components.
  • Work closely with research partners to conceptualize and iterate in new areas of research and development.
  • Prototype, test, and implement models used across the company.
  • Design new architectures and/or develop systems that power research and trading activities.
  • Develop and scale the tools, frameworks, and libraries used by teams to conduct research and build models, improving their performance and scalability.

Desired Qualifications

  • A background in building large-scale, real-time, and distributed applications.
  • Three to ten years of experience is preferred.

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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