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Quantitative Data Engineer Jobs in Chicago, IL (NOW HIRING)

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

$250K - $300K/yr

... data. * Collaborate with developers, traders, and fellow researchers to design and implement a ... Several years (5+ Years) of quantitative research experience, preferably in systematic trading ...

IMC

Quantitative Researcher - Futures

Chicago, IL

... data. * Collaborate with developers, traders, and fellow researchers to design and implement a ... Several years (5+ Years) of quantitative research experience, preferably in systematic trading ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... Mathematics, Statistics, Physics, Computer Science, Data Science, etc.) with more than 2 years of ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL

$105K - $139K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Old Mission

Quantitative Researcher (ETFs)

Chicago, IL · On-site

$170K - $300K/yr

Reverse engineer how the rest of the world behaves in different market environments. * Develop ... Explore trading ideas by analyzing market data and market microstructure for patterns.

Guidant Power

Remote Electrical Engineer

Chicago, IL · Remote

Job Description/Function Support junior engineers and customers in the field of power systems and ... Analytical skill- Able to structure and process qualitative or quantitative data and draw ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Chicago, IL

Quantitative Data Engineer information

See Chicago, IL salary details

$11.3K

$133.6K

$204K

How much do quantitative data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative data engineer in Chicago, IL is $133,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $142,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Chicago, IL? For Quantitative Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Chicago, IL look for? The top searched job categories for Quantitative Data Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Quantitative Data Engineer jobs? Cities near Chicago, IL with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,575 per year, or $64.2 per hour.

Cubist Quantitative Researcher

Point72

Chicago, IL • On-site

Full-time

Re-posted 18 days ago

Job description

ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
ROLE
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
RESPONSIBILITIES
  • Conduct original quantitative alpha signal research
  • Follow, digest and analyze the latest academic research
  • Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
  • Build analytical tools to supplement our shared research framework

REQUIRMENTS
  • B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or comparable language) and working knowledge of SQL
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Detail-oriented.
  • Prior experience in the financial services industry is not required.
  • A commitment to the highest ethical standards.

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