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Quantitative Risk Manager Jobs in Nevada (NOW HIRING)

Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management * Use analytical ...

Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management * Use analytical ...

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Quantitative Risk Manager information

See Nevada salary details

$52.4K

$113.6K

$173.1K

How much do quantitative risk manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative risk manager in Nevada is $113,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a quantitative risk manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are popular job titles related to Quantitative Risk Manager jobs in Nevada?

For Quantitative Risk Manager jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Nevada look for?

The top searched job categories for Quantitative Risk Manager jobs in Nevada are:

Infographic showing various Quantitative Risk Manager job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $113,598 per year, or $54.6 per hour.

Senior Risk Analyst

Las Vegas, NV • On-site

Credit One Bank
Finance and Insurance • 501 - 1,000 employees

Full-time

Re-posted 23 days ago


Key responsibilities

  • Support and oversee the Bank's customer Retention and Reinstatement programs.

  • Use analytical techniques and models to optimize risk strategies, segment customer populations, and perform risk-based prediction of outcomes.

  • Collaborate with colleagues across departments to facilitate improvement in quality, volume, service, and profitability.


Job description

Position Summary
Credit One Bank is seeking a Senior Credit Risk Analyst to join the Risk Customer Account Management team.  The Risk Customer team is responsible for leveraging data, credit thinking, and analytics to improve the quality of decisions made, drive tangible business impact, and set the strategy in our journey to holistically know our customers.  

As a Senior Credit Risk Analyst, you will be directly responsible for supporting and overseeing the Bank’s customer Retention and Reinstatement programs.  You will apply strategic and analytical skills to major company challenges and objectives.  You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line.  And you'll do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
 
Summary of Essential Job Functions
  • Drive business strategies that will facilitate growth, profitability, and competitive success for Credit One Bank in the face of shifting consumer and regulatory demands
  • Sound decision making and problem solving based on data driven analysis.  Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management
  • Use analytical techniques and models to optimize risk strategies, segment customer populations, perform risk based prediction of customer or operational outcomes and increase program performance and efficiency
  • Apply statistical techniques to deliver accretive strategies across targeting, universe expansion, cutoff analysis, product mix optimization, and score utilization
  • Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior and testing hypotheses using rigorous monitoring and analysis
  • Perform complex analyses to maximize profits and asset returns while minimizing credit losses and other risk exposures
  • Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations
  • Execute delivery of business intent, build business requirements and execute against program strategy.  Oversee multiple projects and programs concurrently
  • Draft and maintain formal process documentation (e.g. program strategy and procedures) and flowcharts/diagrams to visualize program workflows
  • Impeccable written and oral communication skills to influence and drive agreement among colleagues
  • Collaborate with colleagues across Credit One Bank including:  IT, Operations, Customer Experience, Finance and others to facilitate improvement in quality, volume, service, and profitability
  • Display an intense focus on achieving both short and long term goals. 
  • Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment
  • Communicate policy changes and test recommendations, program approvals, MIS and performance trends with key stakeholders
 
Position Requirements
  • Bachelor’s degree in a technical field such as mathematics, computer science, finance, economics, statistic or related field
  • 4+ years of strategy development and analytical experience in Credit, Operational Risk, Fraud, or similar strategy environment
  • Advanced capability with at least one of the following: Python, R, SAS, SQL
 
Preferred 
  • Advanced degree or comparable experience in a technical field such as mathematics, computer science, finance, economics, statistic or related field
  • 6+ years of strategy development and analytical experience in Credit, Operational Risk, Fraud, or similar strategy environment
  • Direct experience in Credit, Operational Risk, Fraud, or similar strategy environment
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.