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Model Risk Analyst Jobs in California (NOW HIRING)

... models related to account risk, listing integrity, comment abuse, identity risk, and behavioral ... Conduct portfolio analyses to identify emerging fraud trends, systemic vulnerabilities, and ...

You will partner heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You ...

You will partner heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You ...

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Model Risk Analyst information

See California salary details

$15

$39

$65

How much do model risk analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for model risk analyst in California is $39.96, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $48.65 per hour, depending on experience, location, and employer.

What is a model risk analyst?

A Model Risk Analyst evaluates, validates, and monitors financial models to ensure they function correctly and comply with regulatory standards. They identify potential risks in model assumptions, data quality, and methodologies. Their work helps financial institutions mitigate model-related risks that could lead to inaccurate decision-making. Analysts collaborate with model developers, risk managers, and auditors to improve model performance and documentation. Strong analytical, statistical, and programming skills are essential for this role.

What skills and qualifications are needed to be a model risk analyst?

To thrive as a Model Risk Analyst, you need strong quantitative analysis skills, a background in mathematics, statistics, finance, or a related field, and experience in model validation practices. Familiarity with programming languages such as Python, R, SAS, and tools like Excel, along with knowledge of regulatory requirements such as SR 11-7, is typically essential; certifications like FRM or CFA can be advantageous. Excellent communication, attention to detail, and critical thinking are important soft skills for presenting findings and collaborating with cross-functional teams. Mastery of these skills ensures the integrity and reliability of risk models, supporting sound business decisions and regulatory compliance.

What challenges might a model risk analyst face in their daily work?

Model Risk Analysts often encounter challenges such as ensuring data quality, identifying model limitations, and keeping up with evolving regulatory standards. They must frequently balance the technical rigor needed to validate complex financial models with the need to communicate their findings clearly to stakeholders without a technical background. Additionally, adapting quickly to new modeling methodologies or changing business priorities is common. Overcoming these challenges requires ongoing learning, strong collaboration with model developers, and a proactive approach to risk management.

Do model risk analysts make good money?

Model risk analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions often start around $70,000 annually, with experienced professionals earning over $120,000, especially in financial services and banking sectors. Certifications like CFA or FRM and proficiency in programming tools such as Python or SAS can enhance earning potential.

What does a model risk analyst do?

A model risk analyst evaluates and monitors the risks associated with financial and operational models used by organizations. They review model assumptions, validate model accuracy, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent financial loss and supports decision-making processes.

What are popular job titles related to Model Risk Analyst jobs in California?

For Model Risk Analyst jobs in California, the most frequently searched job titles are:

Infographic showing various Model Risk Analyst job openings in California as of September 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $83,107 per year, or $40 per hour.

Senior Staff Fraud and Risk Analyst

Mountain View, CA • On-site

Intuit Inc.
Computer and Electronic Product Manufacturing • 5 - 10K employees

Other

Posted 15 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies


Job description

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small and mid-market businesses and the self-employed. To achieve this, the Fintech Risk organization is looking for a strong Senior Staff Fraud and Risk Analyst to strengthen our first line of defense risk and controls program within Risk Governance.

As a Senior Staff Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to understand and document our risks and controls, monitor and test the effectiveness of risk controls, and/or validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase end-to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model performance. More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.

Responsibilities
  • Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and AI-focused initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
  • Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines to enable successful AI-focused policy and operational Fintech Risk initiatives
  • Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
  • Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
  • Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
  • Develop polished dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
  • Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
  • Deep-dive into problems and resolve issues to drive conversations forward across teams independently with meaningful business outcomes
  • Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
  • Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
  • Create procedures, dashboards, alerts, scripts, AI skills, and other automations leveraging AI and other techniques to increase efficiency and productivity in risk governance processes
  • Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
  • Lead and shape functional strategy with proactive strategic initiative development leveraging AI at the business unit level and drive system migrations for the broader program
  • Operate independently in ambiguous environments and develop scalable frameworks and analytics capabilities that move the needle at the business unit level
  • Provide guidance and mentorship to team members across the team to grow their skills and capabilities
  • Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective
Qualifications
  • 10+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas within a fintech, payment processing, lending, or online banking operations organization
  • Bachelor’s degree (Master’s degree preferred) in STEM, Business, Finance, Economics, or related field
  • Advanced experience with R, Python, and advanced SQL skills and visualization tools such as Quicksight, Tableau, or others
  • Advanced experience with both AI skill development and oversight of AI-focused initiatives from a risk governance perspective
  • Clear understanding of risk and controls management, monitoring, testing, and/or model validation methodologies
  • Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
  • Outstanding communication skills with the ability to influence decision makers and build consensus with teams
  • Team player with proven relationship-building skills and comfortable interacting with different levels of leadership throughout the organization independently, including executive leadership
  • Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
  • Experience and passion with automating manual process and streamlining work systematically
  • Advanced analytical mindset, business acumen, and a drive/curiosity for continuous learning
  • Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
  • Ability to independently demonstrate strong execution and operational excellence, customer-centric outcomes, and acceleration of teams
  • Prior leadership and strategy development experience
  • Experience in Fintech with a focus on risk and controls from a money movement perspective is preferred

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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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 $199,500 - $270,000

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