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Two Sigma

Quantitative finance firm building predictive models

Quantitative Software Engineer: Fast Engineering

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.
  • A Bachelor of Science degree in Computer Science, Mathematics, Physics, or a related technical or quantitative subject area.
  • Deep knowledge of developing high-performance software in a systems programming language such as Rust, C, or C++, and an ambition to become a subject matter expert in Rust.
  • Experience using Python for quantitative analysis.

Responsibilities

  • Develop a deep understanding of multiple research domains.
  • Become a technical subject matter expert for the systems underpinning the research areas and help evolve these components.
  • Partner closely with research partners to ideate and iterate within new areas of research; prototype, design, and implement low-latency quantitative components to enable new classes of quantitative models and tactics.
  • Analyze quantitative characteristics from data generated in real-time trading and simulations.
  • Research, develop, and simulate quantitative changes to alpha models, feature pipelines, and trading strategies.
  • Perform quantitative analysis to characterize and understand the impact of the work on trading models, driving discussions with researchers, engineers, and business leaders.

Desired Qualifications

  • Five to ten or more years of experience in software engineering and quantitative analysis is preferred.
  • Knowledge of low-latency software development and optimization, statistical methods, convex optimization, finance, and market structures.

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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