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Two Sigma

Quantitative finance firm building predictive models

Production Engineer

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

About the Job

Requirements

  • A Bachelor of Science degree in a relevant discipline is required.
  • At least 1 year of experience is required; 1–5 years of experience in Production or Reliability Engineering is preferred.
  • Ability to program using structured and object-oriented programming with one or more high-level languages such as Python, Java, or C++.
  • A proven track record automating processes and applying an algorithmic approach to problem-solving.
  • Ability to profile and debug applications in real time.

Responsibilities

  • Develop and maintain scalable, ultra-low-latency systems focused on automation, including deploying new features and fixes for a global multi-asset electronic trading business.
  • Enhance real-time monitoring and refine incident and crisis management service-level objectives, diagnosing and resolving issues with intraday transactions.
  • Design and implement architecture and support for the proprietary trading environment, including system design consulting, platform management, capacity planning, tools development, network and colocation site management, and vendor and exchange connectivity across three continents.
  • Collaborate with software and infrastructure teams to define and improve technical and operational best practices.

Desired Qualifications

  • Knowledge of the trading domain and order lifecycle management.

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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