Senior Quantitative Developer - Python Data Pipelines

Fintal Partners; Chicago (IL); On-site; USD 120,000 - 240,000; Full time

Job summary

Fintal Partners in Chicago is seeking a Quantitative Developer who writes production-quality Python for large-scale data workflows and trading research. You will build data pipelines, feature sets, and backtesting tools that move ideas from research into live systems.

The role emphasizes performance optimization, low-latency considerations, and collaboration with researchers and engineers to productionize robust solutions for the firm’s systematic strategies.

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.
• 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.

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.
• 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.

Skills

Python

Pandas

Polars

Data pipelines

Job description

Fintal Partners in Chicago is seeking a Quantitative Developer who writes production-quality Python for large-scale data workflows and trading research. You will build data pipelines, feature sets, and backtesting tools that move ideas from research into live systems.

The role emphasizes performance optimization, low-latency considerations, and collaboration with researchers and engineers to productionize robust solutions for the firm’s systematic strategies.