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Senior Quantitative Risk Analyst Jobs in Missouri

Quantitative Risk Assessment * Cybersecurity Analysis * Threat Modeling * ISO 21434 Application * Cloud Deployment Architecture Hard Skills * Cybersecurity * Risk Assessment * Threat Modeling

The analyst operates with significant autonomy, advising senior leadership, mentoring team members ... Lead risk management initiatives and documentation, in coordination with the NWM Strategy team, to ...

Senior GRC Analyst

Saint Louis, MO · On-site

$85 - $110/hr

The Sr. GRC Analyst will also assume ownership of Human Risk Management (HRM) including the ... delivery of comprehensive security awareness education, the end‑to‑end execution of phishing ...

The Role We Want You For Under the direction of and in collaboration with the GRC Manager, the Sr. ... The analyst transforms the risk register from a static document into a dynamic governance ...

The Role We Want You For Under the direction of and in collaboration with the GRC Manager, the Sr. ... The analyst transforms the risk register from a static document into a dynamic governance ...

The Role We Want You For Under the direction of and in collaboration with the GRC Manager, the Sr. ... The analyst transforms the risk register from a static document into a dynamic governance ...

The Role We Want You For Under the direction of and in collaboration with the GRC Manager, the Sr. ... The analyst transforms the risk register from a static document into a dynamic governance ...

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Senior Quantitative Risk Analyst information

See Missouri salary details

$50.2K

$103K

$133.7K

How much do senior quantitative risk analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior quantitative risk analyst in Missouri is $103,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $128,500.00 per year, depending on experience, location, and employer.

What is a senior quantitative risk analyst?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as a senior quantitative risk analyst?

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What are some typical challenges faced by senior quantitative risk analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

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

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

What are popular job titles related to Senior Quantitative Risk Analyst jobs in Missouri?

For Senior Quantitative Risk Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Risk Analyst jobs in Missouri look for?

The top searched job categories for Senior Quantitative Risk Analyst jobs in Missouri are:

What cities in Missouri are hiring for Senior Quantitative Risk Analyst jobs?

Cities in Missouri with the most Senior Quantitative Risk Analyst job openings:

Infographic showing various Senior Quantitative Risk Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $103,036 per year, or $49.5 per hour.

Senior Product Security Engineer - QRA

California, MO • On-site

$150 - $210/hr

Other

Posted 11 days ago


Job description

  • Perform Quantitative Risk Assessment by quantifying security-related safety risks and collaborate with cross-functional teams, particularly safety teams, to align safety and security objectives
  • Support risk-informed engineering decisions
  • Conduct security analysis, threat modeling, and risk assessment for Zoox’s custom-designed vehicle fleet and cloud services
  • Translate conceptual findings into qualitative and quantitative risk assessments
  • Interface with Product Security, software engineering, and hardware engineering teams
  • Build and maintain understanding of engineering constraints and incorporate them into analyses and recommendations
  • Analyze current and emerging cybersecurity standards and create adoption plans focused on tangible business impact
Requirements
  • Master’s degree in Computer Science or a related engineering field such as software, hardware, or systems
  • 7+ years of experience
  • Demonstrated engineering grasp of cybersecurity, including specific vulnerabilities and attacks in software and cyber-physical domains
  • Track record analyzing complex systems for cybersecurity and delivering impactful, actionable insights
  • Understanding of current and evolving cybersecurity standards for cloud and cyber-physical systems
  • Direct demonstrated experience applying ISO 21434, UNECE R155, NIST CSF, SOC 2 Type 2, or similar frameworks and standards is advantageous
  • Prior experience analyzing automotive SoCs, including on-chip security features, onboard communications, and interfaces such as UDS, JTAG, CAN/LIN, I2C, and SPI is a bonus qualification
  • Familiarity with common cloud deployment architecture and frameworks
Core Competencies

Expertise in Quantitative Risk Assessment and Cybersecurity, with a strong focus on analyzing complex systems and applying relevant standards. Proven ability to collaborate with cross-functional teams to align safety and security objectives while delivering actionable insights.

Highest-signal resume keywords
  • Quantitative Risk Assessment
  • Cybersecurity Standards
  • ISO 21434 Application
  • Automotive SoC Analysis
  • Threat Modeling
ATS Optimization Keywords Hard Skills
  • Cybersecurity Analysis
  • Risk Assessment
  • Threat Modeling
  • Vulnerability Analysis
  • Cloud Security
  • Engineering Constraints Analysis
  • Security Framework Application
  • Cyber-Physical Systems Understanding
  • Impactful Insights Delivery
  • Safety and Security Alignment
Soft Skills
  • Collaboration
  • Communication
  • Problem-Solving
Industry Keywords
  • Cybersecurity Standards
  • NIST CSF
  • SOC 2 Type 2
  • UNECE R155
  • ISO 21434
Tools & Technologies
  • Cloud Deployment Architecture
  • UDS
  • JTAG
  • CAN/LIN
  • I2C
  • SPI
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