Gauntlet
Quant Developer
New York City / San Francisco / Los Angeles / Remote (Remote)full timemidAdded today
About this role
Join a quantitative finance team as a developer building trading systems and financial models. You'll design scalable infrastructure, implement algorithmic strategies, and optimize high-performance systems that drive investment decisions.
What you'll do
- Develop and maintain quantitative trading systems and backtesting frameworks
- Design scalable, low-latency infrastructure for real-time market data processing
- Implement mathematical models and algorithms for portfolio optimization
- Collaborate with quantitative researchers to translate strategies into production code
- Monitor system performance and optimize for speed and reliability
- Conduct code reviews and maintain development best practices
What they're looking for
- C++ or Python for systems development
- Financial markets knowledge and trading concepts
- Data structures and algorithmic optimization
- Distributed systems and concurrent programming
- SQL and database design
- Version control and CI/CD practices
- Linux/Unix environments
- Strong problem-solving and mathematical foundation
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Gauntlet
Gauntlet builds and maintains scalable cloud and on-premises infrastructure systems designed for reliability, performance, and security. The company is hiring Infrastructure Engineers to design, deploy, and manage its technology stack while working across development and operations teams.
View all jobs at GauntletLikely interview questions
- Walk us through your experience building low-latency systems—what bottlenecks did you identify and how did you optimize?
- Describe a time you collaborated with non-engineers (like researchers) to translate complex requirements into code. How did you manage scope?