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Two Sigma

Quantitative finance firm building predictive models

Software Engineer - Trading Engineering

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

About the Job

Requirements

  • A minimum of 1 year of experience is required; 2–6 years of systems-level development experience is preferred.
  • A Bachelor of Science or Master of Science degree in Computer Science, Engineering, or a related field is required.
  • Experience with C, C++, or Rust is required.
  • A high-level understanding of data structures and algorithms is required.

Responsibilities

  • Build platforms for simulation and live trading of different financial markets, instruments, and trading algorithms.
  • Extend trading platforms to cover new markets and new asset classes, accounting for the financial details of those securities; review software code for errors and improvements.
  • Analyze software performance and other quantitative measures to inform decisions about trading-system design and improvements.
  • Design, engineer, and implement financial trading and measurement software applications.
  • Provide software support to traders implementing their portfolio orders.

Desired Qualifications

  • Familiarity with Python is a plus.
  • Experience deploying and optimizing quantitative models in production environments is a strong plus.
  • Experience in large-scale systems is desirable.

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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