Senior Risk Consultant Jobs in California
Senior Risk Consultant jobs in California are among the most active in the country, concentrated in financial services, insurance, technology, and life sciences across a market that demands professionals at every level from associate through principal consultant. The heaviest hiring is in San Francisco, Los Angeles, and San Diego, where firms like Deloitte, Marsh McLennan, and Wells Fargo have deep, established footprints. Enterprise risk management, regulatory compliance risk, and operational risk within fintech and healthcare are the specialties California employers request most consistently. Find a role that fits below and apply directly.
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Showing 5 of 24+ Senior Risk Consultant jobs
INTRODUCTION
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)
INTRODUCTION
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)
See All 24 Senior Risk Consultant Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Senior Risk Consultant JobsSenior Risk Consultant Jobs by City in California
Where California roles are concentrated, by current openings.
Senior Risk Consultant Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- TRC Companies3
- BDO2
- Baker Tilly Canada2
- DataVisor2
- EY2
Top Industries Hiring
- Accounting & Auditing8
- Consulting & Professional Services5
- Insurance5
- Technology & Software5
- Banking & Financial Services1
What California Employers Look For
The qualifications that appear most often in senior risk consultant jobs across California.
- Bachelor's degree in finance, economics, business, or a quantitative discipline required
- Five or more years of risk management or consulting experience in a regulated industry
- Professional certification such as FRM, CRM, or CRISC strongly preferred by California employers
- Demonstrated experience with California regulatory frameworks including CCPA and DFI requirements
- Proficiency in risk modeling, enterprise risk platforms, and quantitative analysis tools
- Strong written communication skills for client-facing deliverables and executive risk reporting
Senior Risk Consultant Jobs in California: Frequently Asked Questions
How do you become a senior risk consultant in California?
The path to becoming a senior risk consultant in California starts with a bachelor's degree in finance, business, economics, or a related field, followed by several years in risk analysis, compliance, or consulting. California does not require a state-issued license for most risk consulting roles, but employers consistently favor candidates holding the Financial Risk Manager (FRM), Certified Risk Manager (CRM), or CRISC designation. Advancing from analyst or associate-level roles within financial services, insurance, or a major consulting firm is the most common route.
How much do senior risk consultants make in California?
Senior risk consultants in California earn a median of about $129,110 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,610 for the lowest 10% to over $208,360 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior risk consultants in California?
Employers hiring senior risk consultants in California right now include TRC Companies, BDO, and Baker Tilly Canada, based on current listings on Migrate Mate as of June 2026. California's concentration of large financial institutions, global consulting practices, and regulated technology companies makes it one of the most consistent states for sustained senior risk consultant hiring year-round.
Which California cities have the most senior risk consultant jobs?
San Francisco, Los Angeles, and San Jose have the most senior risk consultant openings in California. San Francisco leads because of its dense cluster of financial technology companies, investment firms, and major bank operations, while Los Angeles draws demand from insurance carriers, entertainment finance, and large professional services offices, and San Diego's strong biotech and defense sectors add a steady stream of operational and regulatory risk roles.
Are there remote senior risk consultant jobs in California?
Yes, and more than most fields. Senior risk consulting is largely an analytical and advisory function that translates well to remote or hybrid arrangements. About 54% of senior risk consultant openings tied to California are remote or hybrid as of June 2026, reflecting broader flexibility in the consulting and financial services sectors. Strategy, modeling, and reporting work tends to be the most remote-friendly, while on-site client engagements and regulatory examinations typically require in-person presence.
How can I get hired as a senior risk consultant in California with little or no experience?
The most realistic entry path is through a risk analyst or junior associate role within a California-based financial institution, insurer, or consulting firm, then building toward the senior level. Large employers such as regional banks, insurance carriers headquartered in Los Angeles, and the major consulting practices in San Francisco regularly hire from lateral roles in audit, compliance, and financial analysis. Earning the FRM or completing a GARP study program while in an entry-level position gives candidates a measurable edge in California's credential-conscious market.
Where can I find and apply to senior risk consultant jobs in California?
You can find and apply to senior risk consultant jobs in California on Migrate Mate, which lists current California openings from employers actively hiring right now. Search the listings, find the roles that fit your experience and location preference, and apply directly to the ones that match.
See All 24 Senior Risk Consultant Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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