Risk Analyst Visa Sponsorship Jobs in California
California is one of the most active states for risk analyst visa sponsorship, driven by its concentration of financial services firms, technology companies, and insurance carriers. Major employers include Wells Fargo, JPMorgan Chase, Bank of America, and large tech firms in the Bay Area. San Francisco, Los Angeles, and San Jose are the primary hiring hubs.
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Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
Our team owns fraud policies across all the consumer lending and banking product suites — Onboarding risk, Money in Channels, ACH, RTP, OCT, ATO risk. We're hiring a Staff Analyst, Fraud Policy to own end-to-end policy decisions across these money movement rails: detecting emerging attacks, sizing the exposure, designing controls in our real-time decisioning stack, and defending the tradeoff between loss and member experience to leadership.
This is a high-leverage seat. You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to keep the ecosystem secure without breaking the experience for legitimate members, utilizing cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Build data driven strategies and policies to prevent and mitigate fraud, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 3+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Mountain View $150,500 - $204,000
- New York City $140,500 - $190,000
Overview
Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
Our team owns fraud policies across all the consumer lending and banking product suites — Onboarding risk, Money in Channels, ACH, RTP, OCT, ATO risk. We're hiring a Staff Analyst, Fraud Policy to own end-to-end policy decisions across these money movement rails: detecting emerging attacks, sizing the exposure, designing controls in our real-time decisioning stack, and defending the tradeoff between loss and member experience to leadership.
This is a high-leverage seat. You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to keep the ecosystem secure without breaking the experience for legitimate members, utilizing cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Build data driven strategies and policies to prevent and mitigate fraud, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 3+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Mountain View $150,500 - $204,000
- New York City $140,500 - $190,000
Risk Analyst Job Roles in California
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Search Risk Analyst Jobs in CaliforniaRisk Analyst Jobs in California: Frequently Asked Questions
Which companies sponsor visas for risk analysts in California?
Large financial institutions with significant California operations, including Wells Fargo, JPMorgan Chase, Bank of America, and Charles Schwab, are among the most consistent H-1B visa sponsors for risk analyst roles. Insurance carriers like Pacific Life and Farmers Insurance, as well as major technology companies headquartered in the Bay Area, also regularly sponsor risk analysts. Sponsorship activity is concentrated at enterprise-scale employers rather than smaller firms.
Which visa types are most common for risk analyst roles in California?
The H-1B is the most common visa for risk analysts in California, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in finance, statistics, economics, or a related quantitative field. Candidates with a master's degree may benefit from the advanced degree exemption in the H-1B cap selection process. Some employers also use the L-1B for intracompany transfers and, less frequently, the O-1 visa for candidates with exceptional records.
Which cities in California have the most risk analyst sponsorship jobs?
San Francisco and the broader Bay Area account for the largest share of risk analyst sponsorship activity, driven by the concentration of technology companies, fintech firms, and regional bank headquarters. Los Angeles has a strong presence in insurance, entertainment finance, and private equity risk functions. San Jose and Sacramento also see consistent demand, with Sacramento housing several state-regulated financial institutions and insurance companies.
How to find risk analyst visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find risk analyst roles in California where employers have indicated willingness to sponsor. You can filter by location, role type, and visa category to focus on California-based positions. Because sponsorship is confirmed upfront, you avoid spending time on applications where it was never on offer.
Are there any California-specific considerations for risk analyst visa sponsorship?
California's prevailing wage requirements apply to H-1B petitions, meaning employers must pay risk analysts at or above the federally and state-determined wage level for the specific location and role. The Bay Area and Los Angeles carry some of the highest prevailing wage levels in the country for finance and analytics roles. California's large university system, including UC Berkeley and UCLA, also creates a strong pipeline of candidates that employers are already experienced sponsoring.
What is the prevailing wage for sponsored risk analyst jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.