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# Quantitative Software Engineer

- **Company:** Propertyvalue Two Sigma Investments, Llc.
- **Location:** United States (Remote available)
- **Salary:** $165,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Convex Optimization, Statistical Hypothesis Testing, Python (Programming Language), Software Engineering, System Programming, Information Technology, Low Latency, Programming Languages
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/1d00050b-670b-451c-9213-e096fc168a0d

## About the Role

* Minimum 1 year of experience with 5-10+ years of experience preferred in software engineering and quantitative analysis
 * BS in Computer Science, Mathematics, Physics or related technical/quantitative subject area
 * Deep knowledge of developing high performance software in a systems programming language such as Rust, C, or C++, and an ambition to become an SME at Rust
 * Experience using Python for quantitative analysis
 * Excellent interpersonal skills
 * Knowledge of low-latency software development and optimization, statistical methods, convex optimization and finance and market structures are beneficial

## Description

Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.

In Fast Engineering, we are building the next-generation user-friendly framework supporting low-latency and resource-intensive feature construction, alpha generation and trading across a diverse set of asset classes and markets globally. The framework consists of reusable building blocks packaged into a suite of libraries written in the Rust programming language. These building blocks cover foundational infrastructure as well as finance-related functions.

As a quantitative software engineer, you will work directly with researchers to help them use our low-latency components to deploy quantitative models in C++, Rust, and less latency sensitive models in Python. When you discover roadblocks for new types of models, you will design and build new components to enable those models to be researched and deployed. You will also understand, build, iterate and expand on the research done by our research groups. You will engage with research topics and cover new domains quickly; collaborate to build deep expertise with Two Sigma data and tools; apply high standards to the code and develop an ability to identify highly impactful projects in a sophisticated, constantly evolving and critically important domain.

You will take on the following responsibilities:

 * Develop a deep understanding in multiple research domains
 * Become a technical SME for the systems underpinning our research areas and help evolve these components
 * Partner closely with our research partners to ideate and iterate within new areas of research. Engineers prototype, design, and implement low-latency quantitative components to permit new classes of quantitative models and tactics
 * Analyze quantitative characteristics from data generated in real-time trading and simulations
 * Research, develop, and simulate quantitative changes to alpha models, feature pipelines, and trading strategies
 * Perform quantitative analysis to characterize and understand the quantitative impact of our work on Two Sigma's trading models to drive discussions with researchers, engineers and business leaders


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