Quantitative Software Engineer: From Research to Live Trading

Fintal Partners; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

Fintal Partners in Chicago seeks a Quantitative Developer to own the end-to-end lifecycle from research ideas to live trading. You will build rapid feedback loops between research and production, enabling fast iteration and measurable edge.

You will design and maintain backtesting and simulation infra, manage feature pipelines, and collaborate with research and engineering teams to optimize strategies while addressing real-world constraints.

Qualifications

• 3–7 years of quantitative software development experience, ideally in a trading firm or systematic fund.
• Strong production Python skills with data analysis experience (Pandas/Polars).
• Solid foundation in probability, statistics and time series analysis; familiarity with back-testing and simulation frameworks.

Responsibilities

• Build and maintain systems bridging research and production to enable fast iteration from concept to deployment.
• Develop realistic simulation and backtesting infrastructure that captures latency, market microstructure and real-world constraints.
• Define, calculate and manage features across instruments, market regimes and time horizons.
• Own feature and signal pipelines, keeping delivery clean and consistent from research through to execution.
• Help optimize strategies, weighing expected performance against practical constraints.
• Troubleshoot end-to-end issues across research and execution.

Skills

Production Python

Time Series Analysis

Probability & Statistics

ML for Trading

Feature Engineering

Tools

Pandas

Polars

Job description

Fintal Partners in Chicago seeks a Quantitative Developer to own the end-to-end lifecycle from research ideas to live trading. You will build rapid feedback loops between research and production, enabling fast iteration and measurable edge.

You will design and maintain backtesting and simulation infra, manage feature pipelines, and collaborate with research and engineering teams to optimize strategies while addressing real-world constraints.