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Seasonal Quantitative Risk Modeler Jobs in Chicago, IL

US Bank

Quantitative Model Analyst 2

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... internal risk standards. The position also requires clear communication of model performance ... in a quantitative field, and three or more years of relevant experience OR - MA/MS in a ...

Old Mission

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop pricing models in collaboration with our quantitative research team. * Build desk tooling for pricing, risk management, and opportunity identification. * Manage a portfolio of fixed income ...

Old Mission

Quantitative Researcher (Fixed Income)

Chicago, IL · On-site

$175K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This Quantitative Researcher will be familiar with building and improving the firm's risk and pricing models, as well as understanding the risks in trading these assets. Responsibilities * Perform ...

Jump Trading

Campus Quantitative Trader (Full-Time)

Chicago, IL · On-site

$300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and ... models. About the Role: At Jump, our people contribute to trading teams in the following roles, or ...

SageSure

Senior Catastrophe Risk Analyst

Chicago, IL · On-site

... quantitative field. * 5+ years of experience in catastrophe modeling, natural hazard risk research, insurance analytics, or a related field. * Proficiency with catastrophe modeling platforms (RMS ...

DV Trading

Quantitative Trader (Multi-Asset - Chicago)

Chicago, IL · On-site

$100K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Monitor live strategies, manage risk, and adjust models in real time * Evaluate performance and ... experience in quantitative trading, research, or a related field * Strong programming skills ...

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All JobsQuantitative Risk Modeler JobsSeasonal Quantitative Risk Modeler JobsSeasonal Quantitative Risk Modeler Jobs in Chicago, IL

Seasonal Quantitative Risk Modeler information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do seasonal quantitative risk modeler jobs pay per year?

As of Aug 16, 2026, the average yearly pay for seasonal quantitative risk modeler 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 Seasonal Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectSeasonal Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsBachelor's or Master’s in Finance, Mathematics, or related field; certifications like FRM or CFA often preferredBachelor's or Master’s in Finance, Mathematics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, risk management teams, often seasonal or project-basedFinancial firms, investment banks, risk departments, with ongoing risk analysis duties
Employer & Industry UsageUsed in banking, insurance, asset management for seasonal risk assessmentCommon in banking, hedge funds, and asset management for continuous risk monitoring

The Seasonal Quantitative Risk Modeler focuses on developing models to assess risks during specific seasons or periods, often working on short-term projects. In contrast, the Quantitative Risk Analyst performs ongoing risk analysis and monitoring across various timeframes. Both roles require similar credentials but differ mainly in scope and seasonal focus.

What are the most commonly searched types of Quantitative Risk Modeler jobs in Chicago, IL?

The most popular types of Quantitative Risk Modeler jobs in Chicago, IL are:

Seasonal Quantitative Risk Modeler jobs near you

Quantitative Researcher - Systematic

CTC Lateral - Website & LinkedIn

Chicago, IL

Full-time

Re-posted 11 days ago

Job description

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. We are seeking a Quantitative Researcher to partner with Trading and Technology to strengthen, scale, and evolve the firm's trading capabilities within one of the quant research teams. As a Quantitative Researcher, you will be embedded on a research desk, working close to the tip of the spear in a dynamic environment. This includes partnership with other researchers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of the Quant team at CTC! 

What You'll Do
  • Analyze market data to come up with economic and microstructure hypotheses 
  • Build predictive and explanatory models to describe financial markets 
  • Add revenue by applying thorough research processes to real life business problems 
  • Conduct independent, high quality research in quantitative finance 
  • Communicate complex ideas and research results effectively, both in writing and verbally 
  • Drive innovation and results through analytical prowess and business acumen 
What We're Looking For
  • PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Applied Mathematics, Operations Research, Electrical Engineering) strongly preferred 
  • Minimum 5 years of experience as a Quantitative Researcher in a top systematic trading team 
  • Demonstrable track record of generating positive PnL 
  • Advanced programming skills and experience with the software development lifecycle 
  • Proven ability to blend academic rigor with practical application in fast-paced trading environments 
  • Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes 
  • Python skills including Numpy and Pandas libraries 
Nice to Haves
  • Experience with a wide variety of market and alternative data  
  • Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques  
  • Strong track record of publications in an industry setting 

Apply