Fintal Partners
Quantitative Developer - Python
Chicago, Illinois, US
Role snapshot
Fintal Partners is hiring a Quantitative Developer - Python on a full-time basis. This is a role based in Chicago, Illinois, US.
- Company
- Fintal Partners
- Location
- Chicago, Illinois, US
- Job type
- Full-time
- Experience
- 3–7 years
- Posted
- Nov 1, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what Fintal Partners publishes about its product or team, so you can say clearly why this role and this company.
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About the role
A leading quantitative trading firm is seeking a Quantitative Developer with strong Python programming skills and experience working with large-scale datasets . This role sits at the intersection of quantitative research and software engineering, building the tools and data pipelines that move trading ideas from research into production.
The primary focus is writing efficient, production-quality Python for demanding data workflows. Experience with both pandas and Polars is highly desirable , alongside the ability to optimize performance as data volumes and computational demands grow.
What you’ll do:
- 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.
- Develop backtesting and simulation tools that account for market behavior and real-world trading constraints.
- Partner with researchers and engineers to translate research ideas into robust production systems.
- Investigate and resolve data quality, performance, and implementation issues across the research-to-production lifecycle.
Qualifications:
- 3–7 years of experience in quantitative development or a closely related software engineering role, ideally within a trading firm or systematic investment fund.
- Excellent Python coding skills , with a track record of building and maintaining production systems.
- Strong proficiency in pandas and/or Polars, ideally with practical experience in both .
- Familiarity with quantitative research, backtesting, and simulation workflows.
- Hands-on experience handling large datasets , including efficient data manipulation, pipeline development, and performance optimization.
- A strong foundation in probability, statistics, and time series analysis.
- An understanding of machine learning concepts and their application to systematic trading.
- The ability to collaborate effectively across research and engineering teams.
Experience with low-latency trading systems is a plus.