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Quantitative Modeling Jobs in Chicago, IL (NOW HIRING)

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

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 ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Quantitative Analyst, Northbrook, IL - The Quantitative Analyst will assist in the research, design, development, and optimization of proprietary in-house trading models. - Quantitative model ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market * Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling.

Fifth Third

Senior Quant Analyst-CCAR/CECL

Chicago, IL · On-site +1

Implementation, modeling, and validation of quantitative models including PD, LGD, ALM, CCAR, QRM, MRM and Economic Capital. * Provide ongoing support to the development and implementation of ...

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All JobsQuantitative Modeling JobsQuantitative Modeling Jobs in Chicago, IL

Quantitative Modeling information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do quantitative modeling jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quantitative modeling in Chicago, IL is $174,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,600.00 and $205,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. These models help organizations optimize strategies and manage uncertainties effectively.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What job makes $1,000,000 a year?

In quantitative modeling, high-level roles such as senior quantitative analysts, hedge fund managers, or chief investment officers can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, data analysis, or risk management.

What is the highest paid modeling job?

In quantitative modeling, senior roles such as Quantitative Research Director or Head of Quantitative Strategies tend to have the highest salaries, often exceeding $200,000 annually, especially in major financial centers. These positions require advanced skills in mathematics, programming, and financial theory, and may include bonuses and profit-sharing components.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are the most commonly searched types of Quantitative Modeling jobs in Chicago, IL? The most popular types of Quantitative Modeling jobs in Chicago, IL are:
What are popular job titles related to Quantitative Modeling jobs in Chicago, IL? For Quantitative Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Chicago, IL look for? The top searched job categories for Quantitative Modeling jobs in Chicago, IL are:
Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in Chicago, IL as of July 2026, with employment types broken down into 74% Full Time, 8% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $174,983 per year, or $84.1 per hour.
Quantitative Developer - Derivatives

Quantitative Developer - Derivatives

IMC

Chicago, IL

Other

Posted 18 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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