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Associate Quantitative Risk Analyst Jobs in Chicago, IL

This role is responsible for performing quantitative analysis and research within the Risk and Return group of Allstate Investments. The primary focus of this role is private markets research and ...

Quantitative Associate

Chicago, IL · On-site

$200K - $350K/yr

Build and maintain quantitative models to support pricing, underwriting, forecasting, and business ... risk modeling, or actuarial concepts. * Experience building production analytical tools or models.

Sr. Quantitative Finance Analyst

Chicago, IL · On-site

$88K - $109K/yr

Performs end-to-end market risk stress testing including scenario design, scenario implementation ... This position may also have responsibilities for managing associates. At Bank of America, all ...

New

Sr. Quantitative Finance Analyst

Chicago, IL · On-site

$88K - $109K/yr

Performs end-to-end market risk stress testing including scenario design, scenario implementation ... This position may also have responsibilities for managing associates. At Bank of America, all ...

New

Sr. Quantitative Finance Analyst

Chicago, IL · On-site

$88K - $109K/yr

Performs end-to-end market risk stress testing including scenario design, scenario implementation ... Critical Thinking * Quantitative Development * Risk Analytics * Risk Modeling * Technical ...

New

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Associate Quantitative Risk Analyst information

See Chicago, IL salary details

$15

$41

$67

How much do associate quantitative risk analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for associate quantitative risk analyst in Chicago, IL is $41.71, according to ZipRecruiter salary data. Most workers in this role earn between $30.72 and $50.77 per hour, depending on experience, location, and employer.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Chicago, IL? The most popular types of Quantitative Risk Analyst jobs in Chicago, IL are:
What are popular job titles related to Associate Quantitative Risk Analyst jobs in Chicago, IL? For Associate Quantitative Risk Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Associate Quantitative Risk Analyst jobs in Chicago, IL look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Associate Quantitative Risk Analyst jobs? Cities near Chicago, IL with the most Associate Quantitative Risk Analyst job openings:
Intermediate Quantitative Analyst

Intermediate Quantitative Analyst

Allstate

Chicago, IL • On-site

$124K - $165K/yr

Full-time

Re-posted 20 days ago


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Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
This role is responsible for performing quantitative analysis and research within the Risk and Return group of Allstate Investments. The primary focus of this role is private markets research and modeling, with additional exposure to asset allocation and multi-asset research. The role will support the development of quantitative models used in private asset research, portfolio construction, and strategic asset allocation.
This role is hybrid based out of our Chicago office.
Allstate will not sponsor individuals for employment-based visas for this opportunity
Key Responsibilities
  • Lead independent quantitative model development, managing project timelines and deliverables end-to-end
  • Research and develop models related to private markets, including return and cashflow modeling, portfolio analytics, and cross-asset integration
  • Contribute to asset allocation and multi-asset research, including risk/return modeling and scenario analysis
  • Maintain and enhance existing quantitative research infrastructure and models
  • Communicate research findings and model results clearly to the research team and broader stakeholders

Job Qualifications
  • Experience in statistical analysis and modeling, particularly time-series analysis and back testing of investment strategies
  • Exposure to private markets analytics (e.g., private equity, private credit, real assets), including cash flow or return modeling, a plus
  • Experience working with large-scale datasets and research pipelines
  • Solid understanding of financial markets, statistics, and econometric analysis
  • Good understanding of factor investing, asset valuation, and portfolio construction
  • Strong programming experience in Python and SQL; Linux experience a plus
  • Experience with market data vendors such as Bloomberg, Capital IQ, Preqin, Burgiss, or similar platforms
  • Experience with machine learning and applied AI techniques a plus
  • Strong problem-solving skills and ability to manage multiple priorities
  • Strong oral and written communication skills

SUPERVISORY RESPONSIBILITIES
  • This job does not have supervisory duties

EDUCATION AND EXPERIENCE
  • 2+ years of experience in quantitative investment research; experience with multi-asset or private markets research preferred
  • Advanced degree in quantitative discipline such as Quantitative Finance, Computer Science, Mathematics, Statistics, Econometrics, or a related field

CERTIFICATIONS, LICENSES, REGISTRATIONS
  • CFA designation a plus

Skills
AI Ops, Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Multi Asset Investment, Private Markets, Python (Programming Language), Quantitative Investment, Results-Oriented, Structured Query Language (SQL)
Compensation
Base compensation offered for this role is $124,000.00 - $165,000.00 annually and is based on experience and qualifications.
*** Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus AIP as applicable for the role.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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