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Quantitative Model Validation Analyst Jobs in Raleigh, NC

... quantitative analysis, and effective project execution. This role enables datadriven category ... financial modeling of global category projects, evaluating local initiatives, and ensuring ...

... quantitative analysis, and effective project execution. This role enables dataโ€‘driven category ... financial modeling of global category projects, evaluating local initiatives, and ensuring ...

... quantitative analysis, and effective project execution. This role enables dataโ€‘driven category ... financial modeling of global category projects, evaluating local initiatives, and ensuring ...

... quantitative analysis, and effective project execution. This role enables data-driven category ... financial modeling of global category projects, evaluating local initiatives, and ensuring ...

... relationships - Models integrity and company values - Seeks out growth and breakthrough ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Modeling Engineer

Raleigh, NC ยท On-site

$166K - $181K/yr

Develop data extraction logic and perform model validation. Configure and integrate software ... point generation and analysis within the SCADA application. Contact: Apply online at www ...

Validation Engineer

Raleigh, NC ยท On-site

$72K - $80K/yr

... relationships - Models integrity and company values - Seeks out growth and breakthrough ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Financial Analyst

Raleigh, NC ยท On-site

$83K - $103K/yr

Performs quantitative analysis and financial modeling of internal and external data to provide insight on drivers of profitability. * Monitors and analyzes financial data and key business metrics to ...

Senior Financial Analyst

Raleigh, NC ยท On-site

$83K - $103K/yr

Performs quantitative analysis and financial modeling of internal and external data to provide insight on drivers of profitability. * Monitors and analyzes financial data and key business metrics to ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

... business analysis to deliver sustainable results. General Duties and Responsibilities ยท ... as a role model, coach, mentor, and facilitator for Operational Excellence systems and ...

New

Analyst

Raleigh, NC ยท On-site

$112K/yr

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Showing results 41-60

Quantitative Model Validation Analyst information

See Raleigh, NC salary details

$54.9K

$130.1K

$233.3K

How much do quantitative model validation analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative model validation analyst in Raleigh, NC is $130,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $141,400.00 per year, depending on experience, location, and employer.

What is a quantitative model validation analyst?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by quantitative model validation analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

What is the difference between Quantitative Model Validation Analyst vs Quantitative Risk Analyst?

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a quantitative model validation analyst, and why are they important?

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.
What are popular job titles related to Quantitative Model Validation Analyst jobs in Raleigh, NC? For Quantitative Model Validation Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Quantitative Model Validation Analyst jobs? Cities near Raleigh, NC with the most Quantitative Model Validation Analyst job openings:
Infographic showing various Quantitative Model Validation Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $130,132 per year, or $62.6 per hour.

Full-time

Re-posted 14 days ago


Job description


Attindas Hygiene Partners
designs, manufactures, and markets absorbent hygiene products. The company sells adult incontinence and infant diapers, among other products, into the healthcare, retail, and direct-to-consumer channels under brands including Attends, Indas, and Comfees as well as a wide range of private label brands for retailers.
Mission:We champion health, dignity and comfort.
Vision:To be a global leader in absorbent hygiene by meeting consumers' diverse needs through effective, affordable and widely available personal care solutions.
Our Values:Personal, Agile, Innovative, and Integrity
Summary: The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables datadriven category decisions by translating financial performance, profitability metrics, and market data into clear insights and actionable business recommendations. In addition, the Category Specialist plays a key role in leading or supporting the financial modeling of global category projects, evaluating local initiatives, and ensuring alignment across crossfunctional teams. The position works closely with global category management, product design, and finance functions to support category strategy, investment decisions, and daytoday business needs.
Key Responsibilities:
Data & Financial Insights
  • Build and maintain clear, reliable analytics and financial reporting for the category, including KPI tracking and performance dashboards indexing on profitability, cost structures, and financial KPIs to provide a complete category view.
  • Analyze category profitability, , market data, and financial trends to identify risks, margin opportunities, and operational efficiencies that impact category performance.
  • Support the integration of quantitative and financial insights into senior-level business reviews, executive presentations, and category strategy updates.
Cross-Functional Collaboration
  • Drive gathering of inputs from Finance, Commercial Business Units, Product Design, and Manufacturing to align financial assumptions and ensure connectivity across all parts of the category during the development of strategy.
  • As part of the Global category team, Serve as a liaison between Category, different functions and commercial teams to align on cost impacts, , margin trends, financial viability of innovation needs and other set of data key for the management of the category
Projects & Business Case Development
  • Surface and leverage data-based insights to help determine prioritization, and investment decisions for category projects.
  • Translate analytical insights into robust business cases (including cost-benefit and variance analysis) to support the planning, coordination, and tracking of projects across the category.
  • Oversee the category project portfolio by ensuring financial tools, documentation, and governance processes are completed accurately and on time.
  • Maintain a high-level view of resource needs, budget timelines, and implications across category priority projects, proactively highlighting issues that may impact delivery or profitability.
  • Lead global, cross-functional category roadmap projects, ensuring stakeholder success criteria, financial impacts, and strategic objectives remain aligned throughout the project life cycle.
Qualifications:
  • Bachelor's degree in Economics, Finance, Statistics, Data Analytics, Marketing or a related quantitative field.
  • 2-4 years of professional experience in financial analysis, FP&A, commercial finance, data analytics, or a related analytical discipline is preferred
  • Exceptional business acumen and problem-solving skills with proficiency in data modeling and reporting tools.
  • Strong attention to detail, organizational skills, and work ethic.
Employment Type: Full-Time