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Added 1 hour ago
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Cloud Engineer - Senior BDVA 1676
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Insight Global

Senior Quantitative Data Analyst

Chicago, IL, United States

$116,875 to $151,250 USD / year

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Job details

Pay: $116,875 to $151,250 USD / year
Experience: 5-8+ years of experience in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider.
Posting language: English
Posted: Oct 27, 2026

Original job description

Required Skills & Experience

Required Qualifications & Skills:

Education & Experience

Bachelor’s or Master’s degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field. 5-8+ years of experience in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider. Technical & Analytical Skills

Programming skills in Python and SQL, with experience in data analysis and visualization tools. Familiarity with machine learning techniques such as supervised learning, clustering, and anomaly detection. Working knowledge of market data APIs, real-time data processing, or related infrastructure. Exposure to cloud-based data platforms such as Snowflake, AWS, or GCP is a plus.

Nice to Have Skills & Experience

Preferred Qualifications:

Prior experience at a market data provider, exchange, or trading analytics firm. Familiarity with cloud-based data processing (AWS, GCP, Azure) and distributed computing frameworks. Ability to apply machine learning in finance, particularly in predictive modeling and trading signals.

Job Description

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities.

PLEASE NOTE: To support strong partnership and team connection, this role follows a four day in office work model.

Location Overview

Cboe HQ is located in the historic Old Post Office district, it’s a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River.

With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.

Role Overview:

We are seeking a Senior Quantitative Analyst with a strong product development mindset to analyze exchange datasets across equities, FX, options, and futures. This role focuses on identifying, structuring, and enhancing datasets for commercial use. The ideal candidate brings experience in quantitative finance, data analytics, and statistical modeling, with the ability to turn complex market data into practical client-ready products.

Key Responsibilities:

Exchange Data Analysis & Research

Analyze market microstructure across equities, FX, options, and futures to identify actionable insights. Evaluate exchange and proprietary datasets to support trading, risk, and execution use cases. Build liquidity metrics, order book analytics, and related measures to assess market behavior.

Data Product Development & Commercialization

Help design and package historical datasets for institutional clients with a focus on usability and scale. Support product specifications and delivery approaches, including cloud distribution channels such as Snowflake and AWS Marketplace. Ensure datasets are structured for quantitative research, execution analysis, and compliance needs. Partner with engineering teams on data ingestion, normalization, and delivery workflows.

Advanced Data Analytics & Machine Learning

Apply statistical and machine learning techniques to identify patterns, anomalies, and predictive signals. Use modeling, regression, and clustering methods to improve dataset quality and insight generation.

Data Distribution & Market Engagement

Work with internal teams and clients to understand data needs and commercial use cases. Conduct competitive analysis of market data and alternative data offerings. Support sales and marketing with analytics and product positioning for client discussions.

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