Quant Developer: Research-to-Production Engineer

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

Benefits offered by this job

Time off

Insurance

Parental leave

Free meals

Wellness reimbursement

Job summary

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. You will work at the boundary between quantitative research and production engineering, building the systems and datasets our researchers and traders depend on.

You will partner with quants to turn research into reliable, repeatable results, owning data pipelines and production-grade tooling. A strong focus on Python, C++, and scalable data platforms is required.

Qualifications

• Strong Python at production depth, with numpy and pandas fluency, vectorisation and profiling.
• Working proficiency in C++.
• Solid foundations in statistics—probability, regression and time series.

Responsibilities

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

Skills

Python production depth

C++

Statistics

Data pipelines

Cross-functional collaboration

Tools

Apache Iceberg

Job description

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. You will work at the boundary between quantitative research and production engineering, building the systems and datasets our researchers and traders depend on.

You will partner with quants to turn research into reliable, repeatable results, owning data pipelines and production-grade tooling. A strong focus on Python, C++, and scalable data platforms is required.