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Risk Analytics Jobs in California (NOW HIRING)

This Global Risk & Analytics Manager will be primarily responsible for leading Strategic Analysis activities in the Analytics Center of Excellence for YMFC GRC function covering all regions in the ...

Risk Analyst

Los Angeles, CA

$28.84 - $31.25/hr

... Risk Analytics Manager. Innovation and independent thought will be highly valued. Typical reporting duties do exist, including daily and monthly reporting management, profitability reports and other ...

Risk Analyst

Los Angeles, CA · On-site

$28.84 - $31.25/hr

... Risk Analytics Manager. Innovation and independent thought will be highly valued. Typical reporting duties do exist, including daily and monthly reporting management, profitability reports and other ...

Risk Analyst

Los Angeles, CA · On-site

$28.84 - $31.25/hr

... Risk Analytics Manager. Innovation and independent thought will be highly valued. Typical reporting duties do exist, including daily and monthly reporting management, profitability reports and other ...

Credit Risk Analyst

San Diego, CA · On-site

$70K - $88K/yr

... risk analytics and systems. Provides support to the company's sales efforts by performing timely credit risk analysis on potential and existing counterparties. While understanding margining and ...

Risk Lead

Los Angeles, CA · On-site

$200K - $250K/yr

Analytics & Methodology : * Drive innovation in portfolio-level risk analytics and reporting, leveraging advanced quantitative techniques. * Collaborate with Model Control and Analytics on ...

Credit Risk Analyst

San Diego, CA · On-site

$70K - $88K/yr

... risk analytics and systems. Provides support to the company's sales efforts by performing timely credit risk analysis on potential and existing counterparties. While understanding margining and ...

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Showing results 1-20

Risk Analytics information

See California salary details

$52.8K

$108.4K

$140.6K

How much do risk analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for risk analytics in California is $108,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $135,200.00 per year, depending on experience, location, and employer.

What is risk analytics?

Risk analytics is the process of identifying, assessing, and analyzing potential risks that could negatively impact an organization. It involves using data, statistical models, and quantitative methods to measure and predict risks, such as financial losses, operational disruptions, or compliance issues. By leveraging risk analytics, businesses can make informed decisions, develop strategies to mitigate risks, and improve overall resilience. This field is vital in industries like finance, insurance, and healthcare, where understanding and managing risk is crucial to success.

How does a Risk Analytics professional typically collaborate with other departments within an organization?

Risk Analytics professionals often work closely with teams across finance, compliance, IT, and operations to gather relevant data and provide actionable insights. They collaborate with these departments to understand business processes, identify potential risks, and develop models or reports that inform decision-making. Strong communication skills are essential, as risk analysts must translate complex data findings into understandable recommendations for both technical and non-technical stakeholders. Regular cross-functional meetings and project-based teamwork are common, fostering a collaborative environment focused on minimizing risk and supporting organizational objectives.

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

To thrive as a Risk Analytics professional, you need strong quantitative and analytical skills, a background in statistics or finance, and typically a relevant degree such as mathematics, economics, or data science. Familiarity with statistical analysis software, programming languages like Python or R, and risk management frameworks or certifications (such as FRM or CFA) is often required. Outstanding attention to detail, critical thinking, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately assessing risk, informing strategic decisions, and effectively communicating findings to stakeholders.

What is the difference between Risk Analytics vs Risk Management?

AspectRisk AnalyticsRisk Management
Primary FocusAnalyzing data to identify and quantify risksDeveloping strategies to mitigate and control risks
Skills & CertificationsData analysis, statistical modeling, certifications like FRM or CFARisk assessment, strategic planning, certifications like FRM or CRM
Work EnvironmentData-driven, analytical teams within finance, insurance, or bankingStrategic, decision-making teams across various industries
Industry UsageHeavily used in finance, insurance, and banking sectorsApplied across multiple industries including finance, healthcare, and manufacturing

Risk Analytics focuses on analyzing data to identify and quantify risks, while Risk Management involves developing strategies to mitigate those risks. Both roles often require similar certifications and work in data-driven environments, but Risk Analytics is more analytical, whereas Risk Management emphasizes strategic decision-making.

Do risk analysts make good money?

Risk analysts typically earn a competitive salary that varies by industry, experience, and location. Entry-level positions often start around $60,000 annually, with experienced professionals earning over $100,000, especially in finance or consulting sectors. Skills in data analysis, statistical tools, and certifications like FRM or CFA can enhance earning potential.

How much do risk analysts get paid?

Risk analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with certifications like FRM or CFA can earn higher salaries, especially in financial or consulting sectors.

Is risk analysis a good career?

Risk analysis is a valuable career that involves identifying and assessing potential threats to an organization, often requiring skills in data analysis, statistical tools, and industry knowledge. It offers opportunities in finance, insurance, cybersecurity, and other sectors, with a growing demand for professionals who can interpret complex data and develop mitigation strategies.

What are the most commonly searched types of Risk Analytics jobs in California?

The most popular types of Risk Analytics jobs in California are:

What job categories do people searching Risk Analytics jobs in California look for?

The top searched job categories for Risk Analytics jobs in California are:

Infographic showing various Risk Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $108,408 per year, or $52.1 per hour.

Staff Risk Analyst, Consumer Risk Analytics

Intuit

Mountain View, CA • On-site

$176K - $238K/yr

Full-time

Posted 3 days ago

New


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies


Job description

Intuit is a global platform company on a mission to power prosperity worldwide for consumers, small businesses, and the self-employed. Across our four leading brands - TurboTax, Credit Karma, QuickBooks, and Mailchimp - Intuit serves over 100M customers.
This role is foundational to our Consumer Group Risk (CG Risk) team's AI transformation strategy. You will design and build the data infrastructure - data dictionary, schema management, and pipelines - that directly powers AI agents and automated risk workflows across our consumer lending and banking products. Without this foundation, the team's AI capabilities cannot scale.
We are seeking a Staff Fraud & Risk Analyst as part of our Consumer Risk Analytics team. The successful candidate will own the data layer that enables our analytics and AI applications, working across Fraud & Risk Policy, Credit Risk, Operations, Data Science, and Product.
Responsibilities
  • Own and maintain the organization's risk data dictionary, metadata, data lineage, and governance standards across AWS and Google BigQuery, serving as the single source of truth for analytics and risk teams.
  • Design, build, and operate scalable data architecture, data marts, and pipelines that support consumer risk analytics, power AI agents, and enable automated risk workflows, while improving performance, efficiency, and scalability.
  • Partner with the AI architect, product, and technology teams to implement data-layer components and integrate new data sources and features into the broader risk and AI infrastructure.
  • Establish data quality processes, including validation, reconciliation, and monitoring, to ensure data is accurate, consistent, and accessible.
  • Collaborate effectively with data scientists, analysts, and business stakeholders to translate requirements into efficient data models and ETL processes, demonstrating sound judgment, strategic thinking, creativity, and the ability to manage multiple priorities.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or another quantitative field with at least 5 years of relevant experience; or a master's degree or higher in a related field with at least 3 years of relevant experience in data engineering, data architecture, or data warehousing.
  • Strong analytical skills and business acumen, with experience in financial services, FinTech, consumer risk, or risk-related KPIs and OKRs preferred. Experience building data infrastructure for AI and LLM applications, including agent-ready schema documentation, vector stores, or RAG pipelines is a strong plus.
  • Advanced Python and distributed data-processing skills, including experience with Spark, Spark SQL, or Scala, combined with hands-on expertise in Databricks and Google BigQuery. Demonstrated experience designing scalable data marts, data warehouses, or data lakes using sound data-modeling and dimensional-modeling principles is required. Familiarity with Snowflake, AWS S3, or other cloud data platforms is a plus.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
  • Highly accountable, organized, collaborative, and empathetic, with a passion for building robust data foundations, curiosity about complex business problems, and the ability to balance immediate priorities with long-term strategic considerations in a fast-paced environment.

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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 ). 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 $176,500 - $238,500

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