Quantitative Software Engineer

Fintal Partners; Chicago (IL); On-site; USD 160,000 - 230,000; Full time

Job summary

Fintal Partners in Chicago seeks a quantitative software developer to build and maintain systems that bridge quantitative research and production trading, including realistic simulation and backtesting infrastructure.

You will own feature and signal pipelines, help optimize strategies, and troubleshoot issues across research and execution, with a focus on latency, market microstructure, and real-world constraints.

Qualifications

• 3–7 years of quantitative software development experience, preferably in trading.
• Strong production Python skills with Pandas or Polars.
• Experience with backtesting and simulation; knowledge of probability, statistics, and time series analysis.

Responsibilities

• Build and maintain systems connecting research with production trading and backtesting.
• Own feature and signal pipelines and help optimize strategies.
• Troubleshoot issues across research and execution with a focus on latency.

Skills

Quantitative Software Development

Production Python

Probability

Statistics

Time Series Analysis

Backtesting

Simulation

Machine Learning

Low-Latency Systems

Feature Engineering

Signal Pipelines

Market Microstructure

Strategy Optimization

Research-to-Production Systems

Pandas

Tools

Python

Pandas

Polars

Job description

Build and maintain systems that connect quantitative research with production trading, including realistic simulation and backtesting infrastructure that accounts for latency, market microstructure, and real-world constraints. Own feature and signal pipelines, help optimize strategies, and troubleshoot issues across research and execution.

Requirements

Requires 3-7 years of quantitative software development experience, ideally at a trading firm or systematic fund, and strong production Python skills with tools such as pandas or polars. Candidates should have a foundation in probability, statistics, and time series analysis, familiarity with backtesting and simulation, and an understanding of applying machine learning to systematic strategies; low-latency systems experience is a plus.

Key Skills

Quantitative Software Development, Production Python, Pandas, Polars, Probability, Statistics, Time Series Analysis, Backtesting, Simulation, Machine Learning, Low-Latency Systems, Feature Engineering, Signal Pipelines, Market Microstructure, Strategy Optimization, Research-to-Production Systems.