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Associate Quantitative Risk Analyst Jobs in Minneapolis, MN

Graco, Inc.

Associate Marketing Analyst

Minneapolis, MN · On-site

The Associate Marketing Analyst - E-Commerce will drive qualitative analysis for Graco's Ecommerce ... Strong analytical and quantitative problem-solving ability. * Excellent communication skills, with ...

RJM CONSTRUCTION LLC

Risk Manager

Golden Valley, MN · On-site

Data Management, Reporting & Analysis * Establish and maintain standards for accurate risk ... Associate's degree or equivalent combination of education and experience. * Minimum five (5) years ...

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All JobsAssociate Quantitative Risk Analyst JobsAssociate Quantitative Risk Analyst Jobs in Minneapolis, MN

Associate Quantitative Risk Analyst information

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$16

$42

$68

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

As of Jul 16, 2026, the average hourly pay for associate quantitative risk analyst in Minneapolis, MN is $42.26, according to ZipRecruiter salary data. Most workers in this role earn between $31.11 and $51.44 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 Minneapolis, MN? The most popular types of Quantitative Risk Analyst jobs in Minneapolis, MN are:
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What job categories do people searching Associate Quantitative Risk Analyst jobs in Minneapolis, MN look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Minneapolis, MN are:
Associate Quantitative Risk Analyst jobs near you
Commodity Trader - Agronomy (AI & Quantitative Strategy Focus)

Commodity Trader - Agronomy (AI & Quantitative Strategy Focus)

CHS Inc

Inver Grove Heights, MN

$123K - $206K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

CHS Inc. rating

8.0

Company rating: 8.0 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

60th of 355 rated logistics

Job description

CHS Inc. is a leading global agribusiness owned by farmers, ranchers and cooperatives across the United States that provides grain, food and energy resources to businesses and consumers around the world.  We serve agriculture customers and consumers across the United States and around the world.  Most of our employees are in the United States, but today we have employees in 19 countries. At CHS, we are creating connections to empower agriculture.

Summary

CHS, Inc. is hiring a Commodity Trader – Agronomy (AI & Quantitative Strategy Focus) within our Global Grain & Processing organization. This role combines trading, risk management, and advanced analytics, with responsibility for developing and executing trading strategies supported by data-driven supply/demand modeling and AI-enabled insights. The position will partner across commercial, logistics, and risk functions to drive market positioning, identify arbitrage opportunities, and enhance decision-making through proprietary analytical tools.

This is an onsite position at our global corporate headquarters in Inver Grove Heights, MN. 

Responsibilities

Trading, Risk & P&L Ownership

  • Manage a defined commodity portfolio or support senior traders with direct accountability for performance and risk exposure
  • Develop and execute trading strategies within approved risk limits
  • Actively manage price, basis, and structural risk

Market Strategy & Analytics

  • Lead or contribute to global supply and demand modeling, scenario analysis, and market point-of-view development
  • Apply statistical, quantitative, and AI-driven techniques to improve forecasting and identify trade opportunities 
  • Translate complex market data into actionable trading strategies

Technology & Model Development 

  • Build and maintain analytical models, dashboards, and decision tools to support trading and risk management 
  • Automate data pipelines and improve speed and quality of market insights
  • Partner with internal teams to integrate advanced analytics into commercial workflows

Commercial & Cross-Functional Leadership

  • Collaborate with sales, logistics, finance, and risk teams to execute trades and optimize outcomes
  • Engage with customers, suppliers, and counterparties to support commercial growth 
  • Influence broader trading strategy and contribute to team development of market POV
Minimum Qualifications (required)
  • High School diploma or GED
  • 4+ years of experience in commodity trading, procurement, or related markets including demonstrated experience in market analysis, supply/demand fundamentals, or quantitative modeling 
Additional Qualifications
  • Bachelor’s degree preferred in Ag Business, Economics, Finance, Engineering, Data Science, or related field 
  • Experience with Excel-based modeling and data analysis 
  • Programming experience (Python, R, SQL or similar) preferred
  • Experience with data visualization tools (Power BI, Tableau) 
  • Strong understanding of global commodity markets and logistics 
  • Ability to translate data insights into commercial decisions
  • Experience with AI/ML applications in forecasting or trading analytics preferred
  • Pre-employment screening is based on the job requirements and industry guidelines and may or may not be required for the position. If required, selected candidate must pass pre-employment screenings to include all or a combination of drug, criminal, motor vehicle check, physical requirements and FMCSA Clearinghouse.
  • Travel up to 15%

CHS offers a competitive total rewards package. Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions. Actual pay offered will vary based on multiple factors which may include, without limitation, experience, education, training, specialized skills and certifications, minimum wage/salary requirements under local law.

Benefits include medical, dental, vision, wellness programs, life insurance, health and dependent care spending accounts, paid time off, 401(k), pension, profit sharing, short- and long-term disability, tuition reimbursement and adoption assistance, subject to the eligibility requirements for each benefit plan.

CHS is an Equal Opportunity Employer/Veterans/Disability.       

Please note that any communication from a CHS recruiter would be sent using a chsinc.com email address. In addition, a CHS recruiter will not ask for confidential information over the phone or in an email, or request money from a candidate involved in an offer process. If you have questions regarding an employment opportunity, please reach out to chscareers@chsinc.com; to verify that the communication is from CHS.

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