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Quant Developer From Home Jobs in Chicago, IL (NOW HIRING)

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 ...

... quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering ...

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You ...

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

... quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering ...

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

... quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering ...

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 ... from 3rd party vendors. Any unsolicited resumes will become property of our team.

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... from 3rd party vendors. Any unsolicited resumes will become property of our team.

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Quant Developer From Home information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do quant developer from home jobs pay per year?

As of Jul 28, 2026, the average yearly pay for quant developer from home 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 the difference between Quant Developer From Home vs Quant Developer?

AspectQuant Developer From HomeQuant Developer
Work EnvironmentRemote, home-basedOffice-based or hybrid
Required CredentialsDegree in finance, math, or computer science; coding skillsSimilar credentials, often with additional certifications
Industry UsageFinancial firms, hedge funds, asset managersFinancial firms, trading desks, hedge funds
Search & Comparison IntentRemote work options, flexible rolesOn-site roles, traditional positions

Overall, Quant Developer From Home roles focus on remote work with similar credentials and industry usage as Quant Developer positions. The main difference lies in the work environment, offering flexibility for remote professionals.

What are the most commonly searched types of Quant Developer jobs in Chicago, IL? The most popular types of Quant Developer jobs in Chicago, IL are:
What are popular job titles related to Quant Developer From Home jobs in Chicago, IL? For Quant Developer From Home jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Quant Developer From Home jobs in Chicago, IL look for? The top searched job categories for Quant Developer From Home jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Quant Developer From Home jobs? Cities near Chicago, IL with the most Quant Developer From Home job openings:
Infographic showing various Quant Developer From Home job openings in Chicago, IL as of July 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $174,845 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