Senior Quantitative Data Scientist - Market Data & ML

Insight Global; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

Cboe Global Markets, based in Chicago, seeks a Senior Quantitative Analyst with a product development mindset to analyze equity, FX, options and futures datasets for commercial use.

You will turn complex market data into client-ready data products, applying ML techniques and maintaining close collaboration with engineering, sales, and clients in a fast-paced, in-office four-day-per-week environment.

Qualifications

• Bachelor’s or Master’s degree in Quantitative Finance, CS, Data Science, Statistics, Engineering, or related field.
• 5–8+ years in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider.
• Experience with Python, SQL, data visualization, and ML techniques.

Responsibilities

• Analyze market microstructure across equities, FX, options, and futures to identify insights.
• Design and package historical datasets for institutional clients with scalable cloud delivery.
• Apply statistical and machine learning methods to improve dataset quality and insights.
• Collaborate with engineering and sales teams to support data delivery and product positioning.

Skills

Python

SQL

Machine Learning

Data analysis

Education

Bachelor’s/Master’s in Quantitative Finance/CS/Data Science/Statistics/Engineering

Tools

Snowflake

AWS

GCP

Job description

Cboe Global Markets, based in Chicago, seeks a Senior Quantitative Analyst with a product development mindset to analyze equity, FX, options and futures datasets for commercial use.

You will turn complex market data into client-ready data products, applying ML techniques and maintaining close collaboration with engineering, sales, and clients in a fast-paced, in-office four-day-per-week environment.