Quant Developer: Research-to-Production Data Pipelines (Hybrid)

Tradermath; Chicago (IL); Hybrid; USD 175,000 - 225,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Job summary

Chicago Trading Company seeks a Quantitative Developer to bridge research and production, building data pipelines and datasets that researchers and traders depend on. You will partner with quants to turn ideas into reliable, repeatable systems.

You will implement production Python with numpy/pandas, C++ for performance, and help migrate pipelines to modern platforms. The role combines research curiosity with engineering pragmatism, offering a collaborative, hybrid work environment.

Qualifications

• Strong Python at production depth with numpy and pandas; vectorisation and profiling.
• Working proficiency in C++.
• Solid quantitative foundations in statistics, probability, regression and time series.
• Strong software design skills and experience building data pipelines at scale.
• Interpersonal skills to work with quants and traders and turn research needs into design.
• Pragmatic bias toward shipping correct and useful tools quickly.

Responsibilities

• Partner with quantitative researchers and traders to understand their questions and design data, tooling and compute to answer them.
• Build, operate and optimise the pipelines and execution frameworks behind our research and backtesting.
• Take research prototypes into production with reliability, reproducibility and observability.
• Own foundational shared datasets used across desks, ensuring quality and timeliness.
• Profile and optimise performance-critical numerical code, balancing runtime against cost.
• Migrate existing research pipelines onto modern data platforms and improve subsequent migrations.
• Build evaluation tooling for researchers to judge model performance.
• Collaborate across the broader data and technology organisation to improve the platform.

Skills

Python

C++

Statistics

Data pipelines

Software design

Communication

Tools

Apache Iceberg

Job description

Chicago Trading Company seeks a Quantitative Developer to bridge research and production, building data pipelines and datasets that researchers and traders depend on. You will partner with quants to turn ideas into reliable, repeatable systems.

You will implement production Python with numpy/pandas, C++ for performance, and help migrate pipelines to modern platforms. The role combines research curiosity with engineering pragmatism, offering a collaborative, hybrid work environment.