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Quantitative Developer Jobs in Chicago, IL (NOW HIRING)

Strong programming skills * Any amount of experience conducting research on datasets and designing, developing and implementing statistical and machine learning models from this data * Any amount of ...

Work closely with other traders, quants and developers. * Leverage a sophisticated trading platform to execute desired trades, sourcing available liquidity across multiple exchanges. Required Skills

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

Work closely with other traders, quants and developers. * Leverage a sophisticated trading platform to execute desired trades, sourcing available liquidity across multiple exchanges. Required Skills

Quant

Chicago, IL · On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and optimizing current and future trading opportunities. We are seeking a candidate that is searching for an ...

Quant

Chicago, IL · On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and optimizing current and future trading opportunities. We are seeking a candidate that is searching for an ...

Quant

Chicago, IL

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and optimizing current and future trading opportunities. We are seeking a candidate that is searching for an ...

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Quantitative Developer information

See Chicago, IL salary details

$101K

$175K

$267.5K

How much do quantitative developer jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative developer in Chicago, IL is $174,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,700.00 and $205,200.00 per year, depending on experience, location, and employer.

What Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What are the key skills and qualifications needed to thrive as a Quantitative Developer, and why are they important?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a Quantitative Developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are Quantitative Developers?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Quantitative Developer jobs in Chicago, IL? The most popular types of Quantitative Developer jobs in Chicago, IL are:
What job categories do people searching Quantitative Developer jobs in Chicago, IL look for? The top searched job categories for Quantitative Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Quantitative Developer jobs? Cities near Chicago, IL with the most Quantitative Developer job openings:

Model Risk Quant Developer -Chicago, IL -Hybrid

FinTrust Connect LLC

Chicago, IL • Hybrid

$100 - $165/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the job Model Risk Quant Developer -Chicago, IL -Hybrid

  • Model Risk Quant Developer -Chicago, IL - Hybrid
FinTrust Connect Chicago IL Hybrid
Share Your Resume and Build Your Future!
Join our Talent Community for Chicago. The city shows steady contractor demand for quantitative developers who can partner with model risk and front office teams to ship production grade analytics and testing frameworks.
Requirements
  • 5 to 9 years in quant development or model engineering
  • Python expert with strong software engineering practices and Git based workflows
  • Experience packaging analytics for production use and validator reruns
  • Knowledge of market or credit or liquidity risk modeling techniques
  • Familiarity with CI and CD and containers and artifact registries
Responsibilities
  • Engineer model libraries and challenger models with clear APIs and documentation
  • Build scenario and sensitivity engines and quality checks for inputs and outputs
  • Maintain continuous testing and nightly backtests with alerts and dashboards
  • Work with stakeholders to translate regulatory asks into code and evidence
Outcomes we track
  • Nightly validation jobs success 99% with auto rerun and notify
  • Mean time to reproduce validation results < 1 hour
  • Repeat findings over two consecutive cycles 0
Compensation and terms
  • Consultant pay $100 to $165 per hour
  • Contract -Hybrid -Chicago, IL or Remote US W2 or 1099
How to apply
  • Apply on our site FinTrust Careers
  • Or email talent@FinTrustConnect.com with subject [Apply] Model Risk Quant Developer Chicago
  • Follow FinTrust Connect on LinkedIn

Keywords
Model Risk, Quant Developer, Python, Risk Analytics, CI CD, Unit Tests, Benchmarking, Challenger Models, SR 11 7, Data Lineage, Docker, Chicago