ZipRecruiter

Log In

1

Associate Quantitative Risk Analyst Jobs in Minnesota

US Bank

Credit Risk Python Architect

Minneapolis, MN · On-site

$111.61K - $131.30K/yr

Thorough data compilation, programming skills and qualitative analysis skills * Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk ...

US Bank

Audit Project Manager - Model Risk

Minneapolis, MN · On-site

$108.60K - $142.50K/yr

This role does not require quantitative or modeling expertise. Instead, it requires strong audit ... Includes identifying and analyzing business processes, key risks and critical controls ...

next page

Showing results 1-20

People also search for

All JobsAssociate Quantitative Risk Analyst JobsAssociate Quantitative Risk Analyst Jobs in Minnesota

Associate Quantitative Risk Analyst information

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 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 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 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.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Minnesota? The most popular types of Quantitative Risk Analyst jobs in Minnesota are:
What are popular job titles related to Associate Quantitative Risk Analyst jobs in Minnesota? For Associate Quantitative Risk Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Associate Quantitative Risk Analyst jobs in Minnesota look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Associate Quantitative Risk Analyst jobs? Cities in Minnesota with the most Associate Quantitative Risk Analyst job openings:
Associate Quantitative Risk Analyst jobs near you
Infographic showing various Associate Quantitative Risk Analyst job openings in Minnesota as of May 2026, with employment types broken down into 55% Full Time, 43% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Advanced Data Analyst - Inventory & Planning Analytics

Advanced Data Analyst - Inventory & Planning Analytics

Bio-Techne

Minneapolis, MN • On-site

$62.30K - $102.35K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Bio-Techne rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.
Pay Range:
$62,300 - $102,350
The Advanced Data Analyst - Inventory & Planning Analytics serves as the functional owner of inventory and planning analytics used to support operational decision-making across the organization. This role designs, maintains, and governs analytics frameworks that inform inventory health, service-level risk, and planning tradeoffs. The position requires specialized experience in inventory planning concepts, enterprise data systems, and operational analytics, and works closely with Planning and Operations teams to translate complex data into actionable planning signals.
Key Responsibilities
Inventory & Planning Analytics Ownership
  • Own and evolve analytics frameworks supporting inventory health, service-level performance, and planning decisions (e.g., MOH, safety stock signals, backlog risk, inventory imbalance).

  • Define, document, and maintain planning logic, assumptions, and methodologies used by planning teams.

  • Analyze inventory behavior across products, sites, and regions to identify service, cost, and risk tradeoffs.

Functional Leadership & Decision Support
  • Act as the functional lead for inventory and planning analytics, establishing standards and methodologies used by planning teams.

  • Review and validate planning analytics outputs to ensure consistency, accuracy, and decision readiness.

  • Serve as the escalation point for inventory and planning analytics questions and interpretation.

  • Provide analytical guidance and subject matter expertise to planning and operations stakeholders.

Systems & Data Integration
  • Reconcile and integrate data across ERP and analytics platforms to ensure data integrity and alignment.

  • Translate planning and operational requirements into scalable analytics solutions.

  • Automate and standardize recurring analyses to improve efficiency, reliability, and governance.

Cross-Functional Partnership
  • Partner directly with Supply Chain, Planning, and Operations leaders to support inventory and service-level decisions.

  • Communicate insights clearly to technical and non-technical stakeholders, enabling informed decision-making.

Required Qualifications
  • Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering, Operations, Analytics, Computer Science, or related).

  • 3-5 years of experience in a data analyst role, preferably within operations or supply chain.

  • Specialized experience in inventory planning, supply chain analytics, or operational decision support.

  • Experience working with complex enterprise data and translating operational requirements into analytics frameworks.

  • Ability to independently own analytics domains and provide functional leadership without direct supervisory authority.

Preferred Qualifications
  • Master's degree in a quantitative or operations-focused field.

  • Experience with inventory planning concepts (e.g., MOH, safety stock, lead times, service levels).

  • Experience supporting planning or operations organizations through analytics.

  • Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI).

Why Join Bio-Techne:
  • We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
  • We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
  • We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
  • We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
  • We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
  • We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

What Bio-Techne employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply