Quantitative Developer - Derivatives

IMC

Chicago, IL • On-site

$175K - $250K/yr

Full-time

PTO

Posted 9 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

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$175,000-$250,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented 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 dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.


Frequently asked questions

Q: What skills or qualities help someone succeed as a Quantitative Developer?

A: To succeed as a Quantitative Developer, key technical skills include proficiency in programming languages such as Python, C++, and Java, as well as expertise in data structures, algorithms, and software development frameworks like NumPy, pandas, and TensorFlow. Additionally, strong analytical and problem-solving skills, along with knowledge of mathematical and statistical concepts, are essential for developing and implementing complex models and algorithms. Soft skills like effective communication, collaboration, and adaptability are also crucial for working with cross-functional teams and navigating rapidly changing market conditions.

Q: What is the career path for a Quantitative Developer?

A: A Quantitative Developer's career path typically begins as a Junior Quantitative Developer or Quantitative Analyst, where they focus on implementing and maintaining mathematical models and algorithms for financial institutions. As they gain experience, they progress to mid-level roles such as Quantitative Researcher or Algorithmic Trader, where they develop and optimize complex models, and eventually to senior roles like Head of Quantitative Development or Chief Quantitative Officer, where they lead teams and drive strategic decision-making. Throughout their career, Quantitative Developers have opportunities to develop skills in programming languages, data analysis, machine learning, and domain-specific knowledge, which can lead to long-term career prospects in fields like fintech, data science, or academia.



IMC job posting for a Quantitative Developer - Derivatives in Chicago, IL with a salary of $175,000 to $250,000 Annually and benefits including PTO with a map of Chicago location.