Pay · estimate~$125k – $165kMarket rate · not set by employer
PostedNov 12, 2026
LevelMid level
In short
A leading quantitative trading firm is seeking a Quantitative Developer with strong Python programming skills and experience supporting quantitative research and systematic…
PYTHONMACHINE LEARNING
📋 About the job
A leading quantitative trading firm is seeking a Quantitative Developer with strong Python programming skills and experience supporting quantitative research and systematic trading . Working closely with traders and quantitative researchers, you’ll build the research tools, signal pipelines, and production systems that turn trading ideas into live strategies.
The role combines hands-on Python development with direct involvement in signal development, market data analysis, backtesting, and research implementation . You’ll help researchers evaluate ideas efficiently and translate promising results into reliable tools for trading desks. Experience with both pandas and Polars is highly desirable , alongside a strong understanding of the data and computational challenges involved in quantitative trading.
📌What you’ll do
🔹Partner with traders and quantitative researchers to develop, evaluate, and implement trading signals and research ideas.
🔹Build Python tools for analyzing large-scale market datasets and supporting quantitative experimentation.
🔹Develop data, feature, and signal pipelines that connect research workflows with live trading.
🔹Build and enhance backtesting and simulation infrastructure that reflects market behavior and real-world trading constraints.
🔹Improve the speed, scalability, and memory efficiency of research workflows, enabling faster iteration on trading ideas.
🔹Translate research code into robust, production-quality systems deployed directly to trading desks.
🔹Investigate data quality and implementation issues that affect research validity and production reliability.
🎓Qualifications
🔹3–7 years of experience in quantitative development, research engineering, or a closely related role, preferably within a proprietary trading firm, hedge fund, or systematic investment team .
🔹Excellent Python coding skills , with experience developing tools and production systems for quantitative research or trading.
🔹Strong proficiency in pandas and/or Polars, ideally with practical experience in both .
🔹Hands-on experience with market data, signal pipelines, backtesting, and simulation workflows .
🔹Experience processing large financial datasets and optimizing data-intensive research workflows.
🔹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 work closely with traders and researchers, unders…