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Quantitative Risk Manager Jobs in North Carolina

Talcott Financial Group

Risk Manager

Charlotte, NC · On-site

$120K - $155K/yr

Bachelor's degree or higher in a quantitative discipline * 7+ years of experience required, with ... risk, and/or insurance industry preferred * Strong project management and collaboration skills

CFA Institute

Director, Market Risk Audit

Charlotte, NC · On-site

$125 - $150/hr

Experience with trading businesses, risk analytics, or quantitative risk management preferred. * Bachelor's or advanced degree (Master's/Ph.D.) in Finance, Economics, Mathematics, or other ...

Bank of America

Quantitative Finance Analyst

Charlotte, NC · On-site

$100 - $125/hr

Quantitative Analytics Responsibilities * Performs end‑to‑end market risk stress testing ... Supports model development and model risk management in respective focus areas to support business ...

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All JobsQuantitative Risk JobsQuantitative Risk Manager JobsQuantitative Risk Manager Jobs in North Carolina

Quantitative Risk Manager information

See North Carolina salary details

$46.8K

$101.4K

$154.5K

How much do quantitative risk manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quantitative risk manager in North Carolina is $101,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $117,200.00 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 the most commonly searched types of Quantitative Risk jobs in North Carolina?

The most popular types of Quantitative Risk jobs in North Carolina are:

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

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

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

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

What cities in North Carolina are hiring for Quantitative Risk Manager jobs?

Cities in North Carolina with the most Quantitative Risk Manager job openings:

Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in North Carolina as of August 2026, with employment types broken down into 83% Full Time, 9% Part Time, 7% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $101,382 per year, or $48.7 per hour.

Quantitative Risk Principal - Critical Risk Reporting

Jobtailor

Charlotte, NC • On-site

$200 - $250/hr

Other

Posted 17 days ago

Job description

  • Lead the evolution of enterprise risk intelligence capabilities for strategic decision-making, risk appetite management, governance, and regulatory oversight
  • Develop, maintain, and enhance sophisticated quantitative risk models, analytical frameworks, and methodologies
  • Design modeling solutions to assess current and emerging risks, quantify exposures, and influence risk strategy and business decisions
  • Develop predictive, stress testing, scenario analysis, and simulation models across macroeconomic, market, operational, and business conditions
  • Establish approaches and best practices for acquiring, transforming, validating, and maintaining complex data assets
  • Improve risk measurement capabilities through enhanced data, advanced methodologies, emerging technologies, and innovative modeling techniques
  • Design scalable model architectures integrating multiple risk types and analytical capabilities
  • Perform independent quantitative assessment and challenge business assumptions, risk methodologies, model outputs, risk limits, and strategic decisions
  • Synthesize technical quantitative analysis into executive insights and strategic recommendations
  • Develop methodologies for evaluating model uncertainty, tail risk, emerging exposures, and interconnected risk relationships
  • Establish analytical standards, modeling best practices, and quantitative risk methodologies
  • Evaluate relationships among risk drivers, scenarios, and business outcomes to provide forward-looking risk insights
  • Serve as the recognized authority on complex quantitative risk matters and provide expert consultation
  • Represent Risk leadership in executive forums, governance committees, and association working groups
  • Influence strategic direction, prioritization, and delivery of quantitative risk capabilities through technical expertise and thought leadership
Requirements
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Science, Data Science, or another quantitative field; OR 4 years of relevant education and/or experience
  • 10+ years experience in quantitative analytics, modeling, risk management, statistical analysis, actuarial science, data science, economics, or finance
  • 6 years of specific quantitative risk analytics experience
  • Experience with highly complex projects and initiatives with demonstrated association-wide impact
  • Ability to synthesize large volumes of risk, business, operational, and external data into concise executive insights and decision-oriented recommendations
  • Experience identifying emerging trends, leading indicators, concentrations, and potential risk exposures
  • Experience applying statistical analysis, forecasting techniques, scenario analysis, and predictive methods
  • Experience translating complex quantitative findings into executive narratives influencing senior leadership, committee, or board-level decisions
  • Ability to distinguish signal from noise within large, complex reporting environments
  • Experience leveraging advanced analytics, AI-enabled tools, or machine learning techniques
  • Ability to connect macroeconomic, operational, regulatory, and business trends into integrated risk perspectives
  • US military experience gained through military service or as a military spouse/domestic partner
  • Must not require immigration support or visa sponsorship
Core Competencies

Demonstrates expertise in developing and enhancing quantitative risk models and analytical frameworks to support strategic decision-making and risk management. Proficient in synthesizing complex data into actionable insights and recommendations for executive leadership.

Highest-signal resume keywords
  • Quantitative Risk Analytics
  • Statistical Analysis
  • Predictive Modeling
  • Data Synthesis
  • Risk Management
ATS Optimization KeywordsHard Skills
  • Quantitative Risk Models
  • Analytical Frameworks
  • Scenario Analysis
  • Stress Testing
  • Data Transformation
  • Model Uncertainty Evaluation
  • Tail Risk Assessment
  • Forecasting Techniques
  • Machine Learning Techniques
  • Complex Data Analysis
Soft Skills
  • Executive Communication
  • Strategic Influence
  • Decision-Making
Industry Keywords
  • Risk Appetite Management
  • Governance
  • Regulatory Oversight
  • Macroeconomic Trends
  • Operational Risk
  • Business Outcomes
Tools & Technologies
  • AI-Enabled Tools
  • Advanced Analytics
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