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Two Sigma

Quantitative finance firm building predictive models

Quantitative Architect / Software Engineer - Macro Engineering

Software EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A Bachelor of Science degree in a technical or quantitative field, such as Computer Science, Mathematics, or Physics, is required.
  • A minimum of 7 years of experience is required.
  • Strong design, implementation, and debugging skills are required.
  • A track record of successfully releasing high-quality software products is required.
  • Rich engineering experience in quantitative software engineering, especially involving macro instruments and markets, is a plus.

Responsibilities

  • Work closely with research partners to build and iterate in new areas of research by prototyping implementations, crafting new architectures, and productionalizing research insights.
  • Perform quantitative analysis to characterize and understand the impact of work on trading models and drive discussions with researchers, engineers, and business leaders.
  • Become an expert in the systems underpinning these research areas and help evolve these components.
  • Develop a deep understanding of multiple research domains.

Desired Qualifications

  • 10 or more 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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