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Quantitative Risk Analyst Jobs in Seattle, WA (NOW HIRING)

Liberty Mutual

Senior Analyst, Auto Product

Seattle, WA

$83K - $157K/yr

The role partners closely with Distribution, Data Science, Risk Analytics, Underwriting, Technology ... Bachelor's degree in mathematics, economics, statistics, or other quantitative field. * Minimum 3 ...

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Liberty Mutual

Senior Analyst, Auto Product

Seattle, WA · On-site

The role partners closely with Distribution, Data Science, Risk Analytics, Underwriting, Technology ... Bachelor's degree in mathematics, economics, statistics, or other quantitative field. * Minimum 3 ...

Russell Investments

Research Analyst

Seattle, WA · On-site

$85K - $100K/yr

Strong quantitative skill set with the ability to analyze complex data * Programming experience is ... Previous experience in portfolio analysis including factor analysis, risk exposures, performance ...

Russell Investments

Research Analyst

Seattle, WA

$85K - $100K/yr

Strong quantitative skill set with the ability to analyze complex data * Programming experience is ... Previous experience in portfolio analysis including factor analysis, risk exposures, performance ...

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Showing results 1-20

All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in Seattle, WA

Quantitative Risk Analyst information

See Seattle, WA salary details

$64.3K

$152.4K

$273.1K

How much do quantitative risk analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative risk analyst in Seattle, WA is $152,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $165,600.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Seattle, WA? The most popular types of Quantitative Risk Analyst jobs in Seattle, WA are:
What are popular job titles related to Quantitative Risk Analyst jobs in Seattle, WA? For Quantitative Risk Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Seattle, WA look for? The top searched job categories for Quantitative Risk Analyst jobs in Seattle, WA are:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $152,356 per year, or $73.2 per hour.
Principal, GRC Automation and Cyber Risk

Principal, GRC Automation and Cyber Risk

F5, Inc.

Seattle, WA • On-site

Full-time

Re-posted 6 days ago

Job description

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
The Principal, GRC Automation & Cyber Risk Quantification is a senior engineering and strategic leadership role responsible for designing, implementing, and scaling automated, data-driven cyber risk and GRC capabilities across the enterprise. This role blends deep cyber risk management expertise with hands-on software engineering, GRC platform architecture, workflow automation, API development and systems integration, and emerging AI-enabled and Agentic capabilities to modernize how the organization manages risk, compliance, and governance at scale.
Reporting to the VP, Cyber Governance, Risk & Compliance, this role serves as a force multiplier for the GRC organization, translating complex regulatory and risk frameworks into automated controls, continuous monitoring workflows, decision-ready dashboards, and audit-ready evidence. The principal is expected to write, review, and own production-quality code and partner closely with ERM, Engineering, IT, Legal, Privacy, Internal Audit, and Digital teams to embed risk intelligence directly into business and technology processes.
Key Objectives
  • Shift GRC from manual, point-in-time assessments to continuous, automated, and risk-informed execution by leveraging purpose-built engineering solutions, Python-based tooling, and Agentic workflows.
  • Enable executive and board-ready cyber risk insights grounded in quantitative and business-relevant data, supported by automated data pipelines and integrations.
  • Standardize and automate control mapping, testing, evidence collection, and risk reporting across frameworks and regulators through scalable API-driven architectures.
  • Act as the technical and architectural authority for ServiceNow IRM and adjacent GRC automation capabilities, including custom-developed integrations and Agentic automation agents.

Primary Responsibilities
1. GRC Automation & Platform Architecture
  • Design, build, and evolve end-to-end GRC automation across risk, compliance, policy, and issue management domains - including writing and maintaining Python-based automation scripts, services, and tools.
  • Integrate GRC workflows with source systems (cloud platforms, vulnerability tools, IAM, SDLC, third-party systems) via RESTful APIs, webhooks, and event-driven integration patterns to reduce manual effort and improve data quality.
  • Architect and maintain a systems integration layer connecting GRC platforms to enterprise data sources, enabling real-time risk signal ingestion and automated control validation.
2. Cyber Risk Quantification & Decision Enablement
  • Partner with Cyber Risk leadership to operationalize quantitative and scenario-based risk analysis (e.g., FAIR-aligned methods).
  • Engineer automated pipelines for ingesting threat, vulnerability, asset, and business context data to support risk-based prioritization, leveraging Python data processing libraries (e.g., pandas, NumPy) integration APIs, and Agentic work flows.
  • Enable financially grounded cyber risk outputs that inform:
    • Risk acceptance and investment decisions
    • Executive and board-level reporting
    • Program prioritization and roadmap planning
3. Compliance Automation & Continuous Monitoring
  • Translate regulatory and framework requirements into automated, testable, and traceable controls, implementing these as code-driven workflows and API-integrated monitoring checks.
  • Implement continuous control monitoring and evidence refresh to support ISO, SOX, SOC, and regulatory audits, using automated evidence collection scripts and scheduled integrations.
  • Reduce audit fatigue by standardizing artifacts, workflows, and control narratives across compliance programs.
  • Partner with Internal Audit and external auditors to improve transparency, timeliness, and defensibility of GRC outputs.
4. AI-Enabled GRC & Agentic Development
  • Design, build, and deploy Agentic automation solutions - autonomous AI-driven agents capable of reasoning across GRC data, identifying risks, triggering workflows, and recommending actions with minimal human intervention.
  • Identify and pilot AI-assisted capabilities to accelerate GRC outcomes, such as:
    • Control mapping and gap analysis
    • Risk scenario generation and prioritization
    • Policy-to-control alignment and impact analysis
    • Agentic issue triage, intelligent remediation recommendations, and autonomous evidence collection
  • Develop and integrate LLM-based or agent-framework tooling (e.g., LangChain, AutoGen, or comparable frameworks) into GRC workflows.
  • Ensure all AI-enabled and Agentic GRC use cases align with internal security, privacy, and governance standards.
5. API and Systems Integration
  • Design, develop, and maintain RESTful and GraphQL APIs that expose GRC data and capabilities to downstream consumers including dashboards, reporting tools, and integrated enterprise systems.
  • Own the end-to-end systems integration architecture connecting GRC platforms to security tools, cloud environments, HR systems, asset management, and third-party risk platforms.
  • Establish and enforce API governance standards, including versioning, authentication, documentation (OpenAPI/Swagger), and rate management.
  • Build and maintain integration middleware, ETL pipelines, and event-driven connectors to ensure consistent, reliable data flows across GRC systems.
6. Stakeholder Partnership & Influence
  • Serve as a trusted advisor to security, IT, engineering, and business leaders on risk-based automation, control design, and engineering best practices for GRC tooling.
  • Influence teams to embed GRC requirements directly into SDLC, cloud, procurement, and third-party workflows.
  • Translate technical implementations - including architecture diagrams, API designs, and automation logic - into clear, executive-ready narratives for leadership consumption.

Knowledge, Skills & Abilities
Knowledge
  • Deep understanding of cyber risk management and GRC frameworks (NIST CSF, NIST 800-53/171, ISO 27001, SOC 2, SOX).
  • Strong grasp of enterprise risk management (ERM) concepts and alignment.
  • Working knowledge of quantitative cyber risk analysis (FAIR or similar approaches).
  • Familiarity with audit, regulatory, and certification processes.
  • Understanding of software engineering principles, API design patterns, and systems integration methodologies.
  • Knowledge of Agentic AI frameworks and multi-agent system design principles.
Skills
  • Expertise designing and automating workflows within ServiceNow IRM or comparable GRC platforms.
  • Proficient Python developer - able to write clean, maintainable, production-ready code for automation scripts, data pipelines, API clients, and Agentic workflows.
  • Experienced in API development and integration - designing and consuming REST APIs, managing authentication (OAuth, API keys), and building integration layers.
  • Demonstrated systems integration experience - connecting heterogeneous enterprise systems through APIs, webhooks, message queues, or ETL frameworks.
  • Hands-on experience with Agentic development - building autonomous AI agents using frameworks.
  • Ability to translate abstract frameworks into practical, automated, and scalable implementations.
  • Strong systems thinking, connecting people, process, technology, and data.
  • Excellent written and verbal communication skills, including executive-level storytelling.
Abilities
  • Operate comfortably at both strategic and hands-on engineering levels.
  • Influence without authority in a highly matrixed environment.
  • Drive change from legacy/manual processes to modern, code-driven automated execution.
  • Independently scope, build, and ship engineering solutions with minimal oversight.

Qualifications
Required
  • Bachelor's degree in Cybersecurity, Information Systems, Computer Science, Engineering, Risk Management, or related field.
  • 10+ years of experience across cybersecurity, risk management, GRC, or security architecture roles - with at least 3-5 years in a hands-on engineering or software development capacity.
  • Demonstrated Python programming proficiency applied to automation, data processing, tooling, or security use cases.
  • Proven API development and integration experience, including designing, building, and consuming APIs in enterprise environments.
  • Demonstrated systems integration experience, connecting GRC, security, cloud, or enterprise systems at scale.
  • Demonstrated experience automating or scaling GRC, risk, or compliance programs using enterprise platforms.
  • Strong experience partnering with cross-functional technical and business teams.
Preferred
  • Master's degree in a related field.
  • Experience with FAIR or quantitative risk methods.
  • Hands-on experience with Agentic AI development - building and deploying autonomous agents for task automation, decision support, or workflow orchestration.
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar).
  • Experience with Python data and automation libraries (pandas, NumPy, FastAPI, Celery, Airflow, etc.).
  • Experience with API gateway tooling, integration platforms (e.g., MuleSoft, Boomi, Workato), or message broker systems (Kafka, RabbitMQ).
  • Hands-on experience with AI, data analytics, or workflow automation applied to GRC use cases.
  • Professional certifications (CISSP, CISM, CRISC, Open FAIR).

Why This Role Matters
This role is foundational to advancing the organization's GRC maturity by reducing friction, increasing signal, and enabling leadership to make faster, better-informed risk decisions. It is a highly visible engineering leadership position with direct impact on executive confidence, audit outcomes, and enterprise risk posture. The ideal candidate is equally comfortable writing Python code and building Agentic workflows as they are presenting risk insights to a board of directors - a rare blend of engineering depth and strategic influence that will define the next generation of GRC capability.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $167,200.00 - $250,800.00
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5's differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.
You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com)
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

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