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Risk Operations Jobs in California (NOW HIRING)

Waymo

Operational Risk Manager

San Francisco, CA · On-site

$159K - $196K/yr

This role follows a hybrid work schedule and reports to the Head of Operations Safety & Readiness ... Day-to-Day Risk Management: Oversee continuous monitoring of operational risks, lead root cause ...

OpenAI

Safety Response Operations Lead

San Francisco, CA · On-site

$252K - $280K/yr

About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We ...

OpenAI

Safety Response Operations Lead

San Francisco, CA · On-site

$200 - $250/hr

About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We ...

Deloitte

Cyber Insider Risk Manager

Los Angeles, CA · On-site

Qualifications Required: 6+ years of experience in insider risk, security operations, investigations, compliance, data protection, or enterprise risk management 2+ years of experience managing an ...

Coinme

Director of Payments & Risk

San Francisco, CA · On-site

You build and govern AI-assisted workflows that carry much of the operational load, and you develop ... Own the fraud risk strategy and the end-to-end defense architecture across the payments stack ...

Apogee Global RMS

Senior Risk Analyst

San Jose, CA · Remote

This role sits within Apogee's integrated risk practice and contributes directly to our Nexus of Risk framework - connecting strategic, operational, financial, humancapital, and technology risk into ...

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Risk Operations information

What is risk operations?

Risk operations refer to the processes and teams within an organization that are responsible for identifying, assessing, managing, and mitigating risks related to business activities. This can include monitoring transactions for fraud, ensuring compliance with regulations, analyzing data to detect suspicious activity, and implementing controls to protect the company from financial and reputational harm. Risk operations professionals often work closely with legal, compliance, and security teams to develop strategies and tools that minimize potential losses. Their work is essential for maintaining trust with customers and meeting regulatory requirements.

What are the most common challenges faced by professionals in risk operations, and how can they be overcome?

Professionals in Risk Operations frequently encounter challenges such as rapidly evolving fraud tactics, balancing regulatory compliance with efficient operations, and managing large volumes of data for decision-making. Staying updated with the latest fraud trends and regulatory changes is essential, as is collaborating closely with compliance, customer service, and IT teams. Utilizing advanced analytics tools and ongoing training can help address these challenges, ensuring risks are identified quickly while maintaining a positive customer experience.

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

To thrive in Risk Operations, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field, often supported by a relevant degree. Familiarity with risk management systems, data analysis tools like Excel or SQL, and sometimes certifications such as FRM or CAMS are typically required. Excellent problem-solving abilities, communication, and adaptability help you stand out in this role. These skills are vital for accurately identifying, assessing, and mitigating operational risks to protect the organization's assets and ensure regulatory compliance.

What is the difference between Risk Operations vs Risk Analyst?

AspectRisk OperationsRisk Analyst
Required CredentialsBachelor's degree, certifications like FRM or CRM often preferredBachelor's degree, certifications like FRM or CRM often preferred
Work EnvironmentOperational teams, risk management departments, often in financial institutionsAnalytical teams, risk management units, in finance and banking sectors
Employer & Industry UsageUsed across financial services, banking, insurance for risk management processesCommonly employed in finance, banking, and investment firms for risk assessment

Risk Operations and Risk Analyst roles share similar credentials and industry usage, but Risk Operations focuses on managing risk processes and systems, while Risk Analysts primarily analyze data to identify risks. Both roles are vital in financial sectors, often working closely together to ensure comprehensive risk management.

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

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

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

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

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

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

What cities in California are hiring for Risk Operations jobs?

Cities in California with the most Risk Operations job openings:

Risk Operations jobs near you
Infographic showing various Risk Operations job openings in California as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Staff Risk Analyst, Consumer Risk Analytics

Mountain View, CA • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Intuitexternal

$176K - $238K/yr

Full-time

Posted 22 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 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.

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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