Two Sigma
Modeling Workflow Specialist
$165K–$300K
NY New York · Full-time · Posted Oct 28, 2026
- Experience
- Minimum 1 year required; 2-10 years preferred.
- Education
- BS or MS in Science, Technology, Engineering or Math.
About the job
Identify and re-engineer quantitative modeling workflows for GPU acceleration, validating correctness and performance and informing infrastructure needs.
What you'll do
- Analyze CPU-based modeling workflows to find GPU acceleration opportunities and re-engineer pipelines to use GPU parallelism.
- Work with modelers to validate correctness and throughput improvements in accelerated workflows.
- Inform GPU infrastructure requirements and translate modeling needs into technical specifications.
What they ask for
- BS or MS in Science, Technology, Engineering or Math.
- Deep experience with quantitative modeling platforms and tooling, including building or maintaining systems used by modelers.
- Understanding of the full modeling lifecycle, from feature engineering through production deployment.
- Familiarity with Python scientific computing ecosystem (NumPy, Pandas, scikit-learn); strong relationship-building skills.
Nice to have
- Experience profiling and optimizing computational workloads.
- Familiarity with NVIDIA GPU-accelerated scientific computing ecosystem (CuPy, RAPIDS, cuDF); background in distributed computing or HPC.
Pay
$165,000 and $300,000 USD base salary
Tools
Python, NumPy, Pandas, scikit-learn, NVIDIA GPU, CuPy, RAPIDS, cuDF
AI focus
The role supports the firm’s transition to GPU-accelerated computation for quantitative modeling workflows; no specific AI model development is stated.
Model-written summary · the original posting is authoritative