Drimva

Two Sigma

Quantitative Software Engineer: Fast Engineering

$165K–$300K

NY New York · Full-time · Posted Oct 28, 2026

Experience
Minimum 1 year; 5–10+ years preferred in software engineering and quantitative analysis.
Education
BS in Computer Science, Mathematics, Physics, or related technical/quantitative subject area.

About the job

Build and evolve low-latency quantitative software components, partner with researchers to develop and deploy models, and analyze their impact on trading strategies.

What you'll do

  • Prototype, design, and implement low-latency components for quantitative models and tactics.
  • Research, develop, and simulate changes to alpha models, feature pipelines, and trading strategies.
  • Analyze data from real-time trading and simulations to assess the impact of engineering work on trading models.

What they ask for

  • At least 1 year of experience in software engineering and quantitative analysis.
  • BS 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 ambition to become a Rust SME.
  • Experience using Python for quantitative analysis; excellent interpersonal skills.

Nice to have

  • Knowledge of low-latency software development and optimization.
  • Knowledge of statistical methods, convex optimization, finance, and market structures.

Pay

USD $165,000 to $300,000 base salary

Tools

Rust, C, C++, Python

AI focus

No specific AI work is stated for this role.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)