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Two Sigma

Quantitative finance firm building predictive models

Quantitative Software Engineer: Quantitative Components

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

About the Job

Requirements

  • At least 1 year of experience in software engineering and quantitative analysis is required.
  • A Bachelor of Science degree in Computer Science, Applied Mathematics, or another technical or quantitative field is required.
  • Knowledge of statistical methods, convex mathematical optimization, numerical methods, computing performance optimization, and finance and market structures is beneficial.
  • Excellent communication skills are required.

Responsibilities

  • Work closely with research partners to ideate and iterate in new research areas; prototype implementations, craft new architectures, and productionalize research insights.
  • Perform quantitative analysis to characterize and understand the impact of work on Two Sigma’s trading models, driving discussions with researchers, engineers, and business leaders.
  • Become a technical expert for the systems underpinning research areas and help evolve these components.
  • Develop a deep understanding of multiple research domains.

Desired Qualifications

  • Five to ten years of experience in software engineering and quantitative analysis 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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