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Associate Quantitative Risk Analyst Jobs in Illinois

Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth ... Our job titles may span more than one career level (associate, senior, principal, etc.). The actual ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Intermediate-to-Advanced quantitative and analytical problem-solving abilities * Proven ability to ...

Avant is looking for a Senior Credit Risk Analyst who will play a crucial role in evaluating and ... Strong analytical and quantitative skills. * Proficiency in SQL and Python. * Excellent ...

Avant is looking for a Senior Credit Risk Analyst who will play a crucial role in evaluating and ... Strong analytical and quantitative skills. * Proficiency in SQL and Python. * Excellent ...

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 ...

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

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.

... risk-informed decision-making (20%) * Design and develop user-facing analytical tools and ... Bachelor's degree in quantitative field * 4-7 years of relevant experience * Thorough understanding ...

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Associate Quantitative Risk Analyst information

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 software like Excel, R, or Python to support risk management strategies. 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.

Is a quant analyst a high paying job?

A quantitative risk analyst typically earns a competitive salary, especially in finance and investment firms, with compensation often increasing with experience, advanced degrees, and specialized skills in programming and statistical analysis. While salaries vary by location and employer, the role is generally considered well-paying within the finance industry.

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 at Morgan Stanley is typically between $80,000 and $150,000 annually, depending on experience, location, and level of seniority. 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 is the salary of a quant risk analyst?

The salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and the complexity of the role. 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 Illinois? The most popular types of Quantitative Risk Analyst jobs in Illinois are:
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Quantitative Analyst

Quantitative Analyst

Compeer Financial

Bloomington, IL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Be an early applicant


Job description

Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.

How we support you:

  • Hybrid model – up to 50% work from home
  • Flexible schedules including ample flexibility in the summer months
  • Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
  • Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
  • Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
  • Learning and development programs
  • Mentorship programs
  • Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
  • Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.

To learn more about Compeer Financial visit www.compeer.com/careers.

Where you will work:
This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin.
The contributions you will make:

This position develops, organizes, and maintains models to support business insights and strategic decision making across the organization. Applies advanced analytic methodologies within an integrated stress-testing framework, economic capital model (credit, market and operational risk), expected credit loss model, and scenario-based forecasts, and evaluates other business-related statistical relationships. Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework.

A typical day:

  • Examines large data sets to identify patterns, anomalies, relationships and trends. Conducts ad hoc research and analysis.
  • Utilizes analytic tools (i.e. Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and imperfect data sets.
  • Develops data structures to support the generation of business insights and strategy and translate data findings into actionable recommendations and improvements.
  • Gathers and analyzes data from multiple internal and external sources to identify trends and predict responses.
  • Continuously evaluates industry trends for opportunities to utilize new technologies and data sources and recommend strategies to implement these enhancements in the data environment.
  • Conducts complex analytical studies with collaborative help from others, develops advanced quantitative models, and make strategic recommendations to improve performance, drive cost savings and revenue growth, and maximize profits in support of operational, risk, credit, retention, sales, and marketing effectiveness.
  • Supports the model development process for internal business clients from conceptualization through data exploration and implementation. Translating results into meaningful solutions.
  • Work with new and existing third-party vendors to implement, validate, and maintain decision models.
  • Leverages traditional quantitative approaches such as regression, decision trees, clustering, etc. as well as progressive techniques to solve business problems.
  • Conducts statistical and economic analysis to understand key drivers impacting the financial and risk position of the organization.
  • Works with model owners to conduct internal model validations following regulatory guidance and industry best practice. Documents validation processes and results.
  • Conducts back testing and validation activities and provides data analysis to support assumptions and mitigate limitations.

The skills and experience we prefer you have:

  • Bachelor's degree in computer science, information systems, mathematics, statistics, econometrics or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
  • Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth model development experience using econometric and statistical modeling techniques.
  • Familiarity with statistical techniques including regression analysis, decision trees, and stochastic processes.
  • Proficiency with Python highly preferred; or experience with at least one major statistical software program required.
  • Experience with data query or visualization tools preferred (i.e. SQL, Power BI).
  • Ability to communicate and explain complex quantitative modeling content to stakeholders.
  • Proven ability to work under minimal supervision and demonstrated efficiency in meeting deadlines.
  • Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization.

How we will take care of you:

Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.

Base Pay
$75,600—$114,200 USD

Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.

Click here to view federal employment laws applicable for applicants.