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Full Time Risk Quant Jobs in Chicago, IL (NOW HIRING)

Ryan Specialty

Catastrophe Risk Analyst

Chicago, IL

$72K - $90K/yr

Quantitative Analysis * Risk Assessment * Project Management * Insurance Knowledge * Experience ... Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty ...

Ryan Specialty

Catastrophe Risk Analyst

Chicago, IL

$72K - $90K/yr

Quantitative Analysis * Risk Assessment * Project Management * Insurance Knowledge * Experience ... Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty ...

Alliant

Senior Credit Risk Analyst

Chicago, IL · On-site

$84K - $131K/yr

Review relevant data to identify the quantitative and qualitative factors driving the credit risk ... full-time, regular part-time, or temporary employment. Adhere to and ensure compliance of all ...

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

At IMC, the Pricing and Risk (PAR) team owns the firm's core quantitative library for live ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

Alliant

Principal Credit Risk Analyst

Chicago, IL · On-site

$119K - $204K/yr

Analyze data to identify the quantitative and qualitative factors driving the credit risk for ... full-time, regular part-time, or temporary employment. Adhere to and ensure compliance of all ...

IMC

Software Engineer - Risk Technology

Chicago, IL · On-site

$175K - $225K/yr

Collaborate with engineering, trading, quantitative research, operations, and data teams across the ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

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All JobsRisk Quant JobsFull Time Risk Quant JobsFull Time Risk Quant Jobs in Chicago, IL

Full Time Risk Quant information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do full time risk quant jobs pay per year?

As of Aug 2, 2026, the average yearly pay for full time risk quant 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.

How much do quant risk analysts make?

Quant risk analysts typically earn between $80,000 and $150,000 annually, with experienced professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in programming, statistics, and risk modeling are highly valued in this role.

What jobs make $1,000,000 a year?

Full Time Risk Quants in finance can earn close to or over $1,000,000 annually, especially with bonuses and profit-sharing. High-level roles in investment banking, hedge funds, private equity, and executive positions in large corporations also have the potential to reach this income level, often requiring advanced degrees, specialized skills, and extensive experience.

What is the salary of a quant risk manager?

A full-time risk quant manager typically earns a salary ranging from $100,000 to $200,000 annually, depending on experience, location, and the size of the financial institution. Senior roles or those with specialized skills in quantitative modeling and risk management tools may earn higher compensation, often supplemented with bonuses and incentives.

What is the difference between Full Time Risk Quant vs Quantitative Analyst?

AspectFull Time Risk QuantQuantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like CFA or FRMSimilar educational background; often CFA or FRM beneficial
Work EnvironmentFinancial institutions, risk management teams, trading floorsInvestment banks, asset management firms, hedge funds
Employer & Industry UsagePrimarily in risk management departments within financeAcross various finance sectors including trading, investment analysis
Comparison Search IntentUnderstanding risk-focused roles in financeAnalyzing financial data and models for investment decisions

Full Time Risk Quants focus on assessing and managing financial risks using quantitative models within risk management teams. Quantitative Analysts, while similar, often have a broader role in developing models for trading, investment strategies, or financial analysis. Both roles require strong quantitative skills and relevant certifications, but their primary focus and work environments differ slightly.

What jobs pay 500,000 a year?

Full Time Risk Quants in finance and investment banking are among the roles that can reach or exceed a $500,000 annual salary, especially with bonuses and profit sharing. These positions typically require advanced quantitative skills, experience, and often a master's or PhD in a related field, working in high-pressure environments with long hours. Other high-paying roles include senior executives and specialized professionals in technology or law, but risk quant roles are notable for their compensation potential in finance.
What are the most commonly searched types of Risk Quant jobs in Chicago, IL? The most popular types of Risk Quant jobs in Chicago, IL are:
What are popular job titles related to Full Time Risk Quant jobs in Chicago, IL? For Full Time Risk Quant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Full Time Risk Quant jobs in Chicago, IL look for? The top searched job categories for Full Time Risk Quant jobs in Chicago, IL are:
Full Time Risk Quant jobs near you
Infographic showing various Full Time Risk Quant job openings in Chicago, IL as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $174,845 per year, or $84.1 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

Chicago, IL

Full-time

Posted 18 days ago

Job description

About the Role

A proprietary trading firm based in Chicago is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Requirements

Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.

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