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Two Sigma

Quantitative finance firm building predictive models

Software Engineer - Technology Risk

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

About the Job

Requirements

  • At least 7 years of software engineering experience, including hands-on ownership of a data-modeling-heavy or graph-backed service in production.
  • Proficiency in SQL and large-scale data management.
  • Experience designing and operating large-scale REST APIs.
  • A track record of leading technical design for foundational infrastructure systems.

Responsibilities

  • Own the architecture and long-term evolution of the CMDB graph data model.
  • Drive performance and reliability work across CMDB query interfaces, including the web user interface, REST, SPARQL for recursive graph traversal, and the Python/Java client.
  • Own the entire development lifecycle, including design, testing, continuous deployment, productionization, and observability.
  • Mentor a small team of engineers.
  • Partner with data owners across the company to keep entity data accurate.
  • Develop solutions for scalable agentic permissions management.

Desired Qualifications

  • Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.
  • A background in identity and access management systems, including groups, transitive membership, and authorization or entitlements.
  • Experience safely exposing internal systems to large language model or agent tooling, such as MCP servers.

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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