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Quantitative Developer Jobs in Des Plaines, IL (NOW HIRING)

IMC

Quantitative Developer - Derivatives

Chicago, IL

We're looking for a Quantitative Developer - Derivatives to join our Chicago office. At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live derivatives pricing and ...

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 on strategy development and code optimization. We are seeking a candidate that is searching for an opportunity to ...

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

We're looking for a Quantitative Developer - Derivatives to join our Chicago office. At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live derivatives pricing and ...

3Red Partners

Quantitative Developer

Chicago, IL

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices on strategy development and code optimization. We are seeking a candidate that is searching for an opportunity to ...

Point72

Quantitative Developer

Chicago, IL

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

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 on strategy development and code optimization. We are seeking a candidate that is searching for an opportunity to ...

IMC Inc

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

We're looking for a Quantitative Developer - Derivatives to join our Chicago office. At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live derivatives pricing and ...

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

Invesco

Quantitative Developer

Downers Grove, IL · Hybrid

$140K - $150K/yr

Must have 2 years of experience in quantitative analyst/ developer positions in a finance-related industry utilizing/performing the following: * Working with large datasets of at least 1 million ...

Invesco

Quantitative Developer

Downers Grove, IL · On-site

$140K - $150K/yr

Must have 2 years of experience in quantitative analyst/ developer positions in a finance-related industry utilizing/performing the following: * Working with large datasets of at least 1 million ...

Purple Drive

Senior Quantitative Developer

Chicago, IL · On-site

Senior Quantitative Software Engineer Location: Chicago, IL (Onsite - Local Candidates Preferred) Type: Contract We are seeking a Senior Quantitative Software Engineer with strong expertise in ...

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See Des Plaines, IL salary details

$95.5K

$165.4K

$252.9K

How much do quantitative developer jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative developer in Des Plaines, IL is $165,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,100.00 and $193,900.00 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.

More about Quantitative Developer jobs
What cities near Des Plaines, IL are hiring for Quantitative Developer jobs? Cities near Des Plaines, IL with the most Quantitative Developer job openings:
Quantitative Developer jobs near you

Quantitative Developer - Derivatives

IMC

Chicago, IL

Other

Posted 17 days ago

Job description

We're looking for a Quantitative Developer - Derivatives to join our Chicago office.

At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live derivatives pricing and risk. This library sits directly in the critical path of our HFT market making systems and serves as the real-time source of truth for valuation across all strategies. It is both foundational and constantly evolving, with extremely high expectations for performance and correctness.

The platform runs at scale across thousands of servers and is developed collaboratively across desks and regions. The team works closely with global counterparts to ensure consistency in how derivatives are modeled and priced across the firm.

Our primary focus is options and volatility modeling, alongside support for a broader set of asset classes including fixed income, ETFs, and FX.

This role sits at the intersection of quantitative modeling and high-performance engineering, similar to roles often titled Quant Developer or Strategist.

Your Core Responsibilities

  • Design and implement high-performance numerical algorithms for pricing and risk
  • Build and improve models that reflect real market behavior, balancing accuracy, stability, and latency
  • Own core components of the firm's pricing library, from models to calculation graphs to central infrastructure
  • Work closely with quants and engineers to ensure models are robust, explainable, and production-ready
  • Contribute across the full lifecycle: research, implementation, validation, and performance optimization
  • Write clean, maintainable production code in C++ and Java

Your Skills and Experience

  • 5+ years of experience in a trading or financial environment working on pricing or risk systems
  • Strong understanding of derivatives pricing, especially options and volatility
  • Solid background in mathematics, physics, computer science, or a related quantitative field
  • Extensive C++ and/or Java skills, with experience building production systems
  • Experience working closely with quants, traders, or similarly technical stakeholders
  • Ability to translate quantitative models into reliable, scalable systems
  • Experience with PDE methods or other advanced numerical techniques is a strong plus
  • Familiarity with numerical analysis (stability, convergence, error propagation) is a plus

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