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Associate Quantitative Risk Analyst Jobs in Utah

Perform swap-set analysis and champion/challenger testing behind every credit expansion and model ... Our hybrid work environment allows associates living within 30 miles of an office location to work ...

Proficient in performing cost estimating activities such as cost/price analysis, WBS development, and risk analysis. * Excellent verbal communication, written, and quantitative analytical skills are ...

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Associate Quantitative Risk Analyst information

What is an associate quantitative risk analyst?

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?

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 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 popular job titles related to Associate Quantitative Risk Analyst jobs in Utah?

For Associate Quantitative Risk Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Risk Analyst jobs in Utah look for?

The top searched job categories for Associate Quantitative Risk Analyst jobs in Utah are:

What cities in Utah are hiring for Associate Quantitative Risk Analyst jobs?

Cities in Utah with the most Associate Quantitative Risk Analyst job openings:

Director, Credit Risk Management

Draper, UT • On-site

Nelnet, Inc.
IT Services • 5 - 10K employees

$200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Nelnet rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

36th of 154 rated financial services


Job description

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.
The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.
• Credit Policy Management: Own credit policy and underwriting strategy by defining the credit box, debt-to-income standards, loan amount and term assignment, and risk-based pricing tiers. Perform swap-set analysis and champion/challenger testing behind every credit expansion and model change
• Risk Analysis: Apply classification and regression trees and tree-ensemble methods (CART, random forest, gradient boosting) alongside traditional scorecard techniques to isolate materially different risk populations and determine where segment-level risk is significantly above expectations and profitability is below hurdle returns.
• Predictive Analytics & Modeling: Own end-to-end risk analysis and development of consumer credit models like application and custom scorecards, behavioral and account management models, PD/LGD, loss forecasting, and collections propensity. Own end to end development and deployment of such models. Integrate these models downstream in credit decisions.
• Risk Monitoring: Own portfolio surveillance (vintage curves, roll rates, KRIs against risk appetite), with defined thresholds that trigger credit or pricing actions. Run model performance monitoring (PSI, stability and calibration diagnostics, expected vs. actual by vintage) and report out on health of our models.
• Governance: Serve as first-line owner for documentation, validation response, remediation, and model inventory. Follow and enhance internal governance procedures and policies. Ensure all changes are well documented and can pass muster with internal Audit and external regulators. Ensure models and strategies hold up under ECOA/Regulation B, FCRA, UDAAP, fair lending review, and risk management expectations.
• Reach across the organization: Partner with Product, Data, Technology, Finance, Servicing/Collections, Second Line Risk, and Compliance; present to credit committee, senior leadership, validators, auditors, and examiners.
  • 8+ years in consumer lending, preferably at a bank or regulated depository institution.
  • Familiarity with credit policy management, pricing strategies and design-of-experiments
  • A track record of building credit models end to end. Ability to walk through models you personally developed: the problem, the data, the method, the validation, and how they performed in production.
  • Deep hands-on machine learning and statistical modeling skills, including tree-based segmentation and classical scorecard development.
  • SQL plus Python (pandas, scikit-learn, XGBoost/LightGBM), R, or SAS; fluency with large loan-level and credit bureau datasets and reproducible workflows.
  • Experience inside a formal risk governance framework with three lines of defense, credit committee, model risk management, issue management, and audit or exam interaction.
  • Excellent written and verbal communication, with credibility to influence decisions across functions without direct authority.
  • Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Economics, or a related quantitative field; advanced degree preferred.
    Engineering or Data Science background with production machine learning experience. Model explainability and fair lending technique in a regulated setting (SHAP, monotonic constraints, AA reason codes, disparate impact testing). CECL, stress testing, or capital planning models. MLOps practice with exposure to model registry, automated scoring and report generation, drift monitoring. Experience across more than one consumer asset class. FDIC, OCC, or state examination exposure. Growth-stage or de novo bank environment.

Annual compensation for this role is $200,000 depending on experience
This position offers a hybrid work option. Nelnet values flexibility and understands the importance of work-life integration. Our hybrid work environment allows associates living within 30 miles of an office location to work remotely for part of the week, while also fostering collaboration and team connection through in-office presence three days per week. Candidates must be located in Draper, Utah.
Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.
Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: Benefits & Perks - Nelnet Inc.
Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net.
Nelnet is a Drug Free and Tobacco Free Workplace.
Use of Artificial Intelligence in Hiring
We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring

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About Nelnet

Sourced by ZipRecruiter

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Lincoln, NE, US

Year founded

2003