Quantitative Developer - Python

Requirements:

• 3–7 years of experience in quantitative development or a related software engineering role, ideally at a trading firm or systematic investment fund
• Excellent Python programming skills and experience building and maintaining production systems
• Strong proficiency with pandas and/or Polars; practical experience with both is preferred
• Familiarity with quantitative research, backtesting, and simulation workflows
• Hands-on experience with large datasets, including efficient data manipulation, pipeline development, and performance optimization
• Strong foundation in probability, statistics, and time series analysis
• Understanding of machine learning concepts and their application to systematic trading
• Ability to collaborate effectively across research and engineering teams
• Experience with low-latency trading systems is a plus

Responsibilities:

• Develop and optimize Python systems for processing, transforming, and analyzing large-scale financial datasets
• Build reliable data, feature, and signal pipelines that support quantitative research and live trading
• Improve the speed, scalability, and memory efficiency of research workflows
• Create backtesting and simulation tools that account for market behavior and real-world trading constraints
• Work with researchers and engineers to turn research ideas into robust production systems
• Investigate and resolve data quality, performance, and implementation issues throughout the research-to-production lifecycle

Technologies:

• Support
• Machine Learning
• Python
• pandas

More

We are a leading quantitative trading firm seeking a Quantitative Developer to work at the intersection of quantitative research and software engineering. The role focuses on building tools and data pipelines that take trading ideas from research into production, with an emphasis on efficient, production-quality Python for demanding data workflows and growing data and computational workloads.

last updated 43 week of 2026