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Sr Risk And Vulnerability Analyst Jobs in California

Support Revolution

Sr. Risk Manager

San Jose, CA · On-site

$123 - $140/hr

Your expertise will directly impact our risk management strategy and guide key decisions across the ... Analyze insurance costs and identify opportunities for cost savings. * Prepare comprehensive ...

Support Revolution

Sr. Risk Manager (28696)

San Jose, CA · On-site

$123 - $140/hr

Sr. Risk Manager Date: May 5, 2026 Location: San Jose, California, United States Company: Super ... Analyze insurance costs and identify opportunities for cost savings. * Prepare comprehensive ...

Robert Half

Senior Financial Risk Analyst

Menlo Park, CA · On-site

$45.81 - $53.04/hr

We are looking for a Senior Financial Risk Analyst to join a Long-term Contract opportunity based in Menlo Park, California. In this role, you will help strengthen the organization's approach to ...

Supermicro

Sr. Risk Manager (28696)

San Jose, CA · On-site

$123K - $140K/yr

Risk Assessment & Mitigation: * Proactively identify and assess a wide range of risks, including ... Analyze insurance costs and identify opportunities for cost savings. * Prepare comprehensive ...

Super Micro Computer

Sr. Risk Manager (28696)

San Jose, CA · On-site

$123K - $140K/yr

Risk Assessment & Mitigation: * Proactively identify and assess a wide range of risks, including ... Analyze insurance costs and identify opportunities for cost savings. * Prepare comprehensive ...

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Sr Risk And Vulnerability Analyst information

What does a Sr Risk and Vulnerability Analyst do?

A Sr Risk and Vulnerability Analyst is responsible for identifying, assessing, and mitigating risks and vulnerabilities within an organization’s information systems and processes. They conduct security assessments, analyze potential threats, and recommend strategies to protect assets and data. Their role often involves collaborating with IT, compliance, and management teams to develop risk management policies and respond to emerging security issues. Additionally, they may lead vulnerability testing and ensure the organization meets regulatory and industry standards for cybersecurity.

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

To thrive as a Sr Risk and Vulnerability Analyst, you need in-depth knowledge of cybersecurity principles, risk assessment methodologies, and a relevant degree or certifications such as CISSP or CEH. Proficiency with vulnerability scanning tools (e.g., Nessus, Qualys), SIEM systems, and risk management frameworks (like NIST or ISO 27001) is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are vital for identifying threats, reducing organizational risk, and ensuring robust security defenses.

What are some common challenges faced by a Sr Risk and Vulnerability Analyst, and how can they be addressed?

Sr Risk and Vulnerability Analysts often encounter challenges such as staying updated with rapidly evolving threats, managing a large volume of vulnerabilities, and effectively communicating risks to non-technical stakeholders. Addressing these challenges involves continuous learning, leveraging automated tools for vulnerability management, and developing strong reporting and presentation skills to translate technical findings into actionable business insights. Collaboration with IT, security teams, and business leaders is essential to prioritize and remediate risks efficiently.

What is the difference between Sr Risk And Vulnerability Analyst vs Risk Analyst?

AspectSr Risk And Vulnerability AnalystRisk Analyst
CertificationsCertifications like CISSP, CISA often preferredSimilar certifications, often entry to mid-level
Work EnvironmentFocus on cybersecurity vulnerabilities and risk management in ITBroader risk assessment across financial, operational, or strategic areas
Employer & Industry UsageCommon in cybersecurity, IT, finance sectorsUsed across various industries including finance, insurance, and consulting

The Sr Risk And Vulnerability Analyst specializes in identifying and mitigating cybersecurity vulnerabilities, often requiring advanced certifications and experience. In contrast, a Risk Analyst has a broader scope, assessing risks across multiple business areas. Both roles require analytical skills but differ in focus and industry application.

What are popular job titles related to Sr Risk And Vulnerability Analyst jobs in California?

For Sr Risk And Vulnerability Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Sr Risk And Vulnerability Analyst jobs in California look for?

The top searched job categories for Sr Risk And Vulnerability Analyst jobs in California are:

What cities in California are hiring for Sr Risk And Vulnerability Analyst jobs?

Cities in California with the most Sr Risk And Vulnerability Analyst job openings:

Sr Risk And Vulnerability Analyst jobs near you
Infographic showing various Sr Risk And Vulnerability Analyst job openings in California as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% In-person job distribution.

Senior Risk Consultant - US East

DataVisor

Mountain View, CA • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

  • Lead technical and strategic client engagements related to fraud pattern analysis, risk detection strategy development, platform configuration, and machine learning model optimization.

  • Coordinate data gathering, integration, and validation efforts with clients' risk, fraud, AML, and data teams to ensure high-quality data collection.

  • Configure DataVisor platform components and deliver tailored solutions to improve fraud prevention outcomes and generate business value.

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview
DataVisor is seeking a Senior Risk Consultant to join our Professional Services team. In this role, you will lead a variety of technical and strategic client engagements, including fraud pattern analysis, risk detection strategy development, platform configuration, and machine learning model optimization.
These projects may support customers in both pre-sales and post-sales phases. You will work cross-functionally with Customer Success, Solutions Consulting, ML Modeling, Delivery, Product, and Engineering teams to help customers improve fraud prevention outcomes, drive operational efficiency, and deliver measurable business impact.
Key Responsibilities
Business Problem Discovery
  • Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes
  • Translate business challenges into actionable risk and solution requirements

Data Gathering and Integration
  • Lead technical discussions with clients' risk, fraud, AML, and data teams to ensure complete and high-quality data collection
  • Own data transfer coordination and data quality validation

Data Analysis and Risk Strategy Development
  • Conduct data analysis and fraud pattern analysis using strong domain expertise and business judgment
  • Design, recommend, test, and iterate on detection strategies to improve risk outcomes

Solution Configuration
  • Configure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards
  • Deliver tailored solutions that generate strong business value for clients

ML Model Performance Analysis
  • Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models
  • Analyze model performance metrics and provide guidance on threshold setting and decisioning strategies

Project Management and Documentation
  • Manage solution delivery projects using project management tools such as Monday.com
  • Own the creation, maintenance, and reporting of key internal and customer-facing project deliverables

Presentation and Demonstration
  • Present project findings, recommendations, and solution outcomes to business and technical stakeholders
  • Demonstrate configured solutions and articulate business impact clearly and effectively

Requirements
  • Experience
    • 4+ years of experience in fraud and/or AML strategy, analytics, or modeling
    • 2+ years of experience leading client-facing data analytics or consulting projects
  • Technical Skills
    • Strong domain knowledge of fraud and AML use cases within the financial services industry
    • Advanced SQL skills, including complex joins and layered business logic
    • Familiarity with Python, R, and Java is a plus
    • Experience using LLM tools such as ChatGPT and Claude to accelerate research, problem-solving, and documentation
    • Experience configuring technical products and debugging feature, rule, and result behavior
  • Soft Skills
    • Excellent communication, presentation, and interpersonal skills
    • Strong analytical, problem-solving, and results-oriented mindset
    • Strong documentation discipline and interest in automation using AI tools and agents
    • Ability to collaborate effectively in a fast-paced team environment and manage multiple projects simultaneously
  • Education
    • Bachelor's degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline

Benefits
Stock options, Medical insurance, 401K, PTO
Why Join DataVisor
  • Work on high-impact projects that help protect businesses and consumers from fraud and financial crime
  • Collaborate with a talented and diverse team of experts in AI, machine learning, and data science
  • Grow your career in a flexible and supportive work environment
  • Receive a competitive compensation and benefits package
  • Work remotely (eastern time zone preferred)

Apply