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Manager Risk Analytics Jobs in Millbrae, CA (NOW HIRING)

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

This role will work closely with risk strategy, risk analytics, operations, engineering partners ... Proven track record of managing all aspects of a successful product throughout its lifecycle ...

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

This role will work closely with risk strategy, risk analytics, operations, engineering partners ... What You'll Be Doing: * 7+ years of product management experience in platform products, preferably ...

Intuit Inc.

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$200 - $250/hr

Minimum 6 years of experience in Fraud risk analytics and risk management * Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine ...

WSP

Senior Risk Manager

San Francisco, CA · On-site

$220K - $230K/yr

Analyze economic drivers of project risk, including market conditions, labor and commodity trends ... Ability to manage challenging behaviors and maintain effective working relationships based on ...

WSP

Senior Risk Manager

San Francisco, CA · On-site

$174K - $213K/yr

Analyze economic drivers of project risk, including market conditions, labor and commodity trends ... Ability to manage challenging behaviors and maintain effective working relationships based on ...

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Manager Risk Analytics information

See Millbrae, CA salary details

$59.8K

$129.5K

$197.4K

How much do manager risk analytics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for manager risk analytics in Millbrae, CA is $129,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $149,800.00 per year, depending on experience, location, and employer.

What does a manager risk analytics do?

A Manager of Risk Analytics leads a team responsible for analyzing data to identify, assess, and mitigate risks within an organization. They develop risk models, oversee the implementation of analytics tools, and provide insights that help guide business decisions. Their work helps organizations manage financial, operational, and strategic risks more effectively. Additionally, they often collaborate with other departments to ensure risk management strategies align with overall business goals.

What are the key skills and qualifications needed to thrive as a manager risk analytics?

To thrive as a Manager Risk Analytics, you need strong quantitative analysis skills, expertise in risk modeling, and a background in finance, statistics, or a related field—often supported by an advanced degree. Proficiency with statistical software (such as SAS, R, or Python), risk management systems, and relevant certifications like FRM or CFA is typically required. Exceptional leadership, communication, and problem-solving skills help you guide teams and translate complex data into actionable insights for stakeholders. These abilities are critical for accurately assessing risks, informing business decisions, and ensuring regulatory compliance.

How does a manager risk analytics typically collaborate with other departments within an organization?

A Manager of Risk Analytics works closely with teams across the organization, such as finance, compliance, operations, and IT, to identify and mitigate potential risks. This role involves communicating complex analytical findings in an understandable way to non-technical stakeholders and supporting informed decision-making. Regular collaboration ensures that risk models and strategies align with business objectives and regulatory requirements. Effective teamwork and cross-departmental communication are essential to implementing robust risk management solutions.

What is the difference between Manager Risk Analytics vs Risk Analyst?

AspectManager Risk AnalyticsRisk Analyst
CredentialsBachelor's or Master’s in Finance, Economics, or related field; professional certifications like FRM or CFABachelor's degree in Finance, Economics, or related field; some certifications preferred
Work EnvironmentLeads teams, manages risk projects, strategic planningAnalyzes data, prepares reports, supports risk management processes
Industry UsageUsed across banking, insurance, investment firmsCommon in financial services, corporate risk departments

The main difference is that a Manager Risk Analytics oversees risk teams and strategic initiatives, while a Risk Analyst focuses on data analysis and reporting. Both roles require similar credentials and are integral to risk management, but the manager has additional leadership responsibilities.

Do risk managers make good money?

Risk managers typically earn competitive salaries that vary based on experience, industry, and location. According to industry data, median annual pay ranges from $80,000 to over $130,000, with senior roles and certifications like FRM or CRM often commanding higher compensation.

Is manager risk analytics a good career?

Manager risk analytics is a specialized role focused on assessing and managing financial or operational risks within organizations. It typically requires strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CFA. The role offers opportunities for advancement and high demand in industries like finance, insurance, and consulting.

What cities near Millbrae, CA are hiring for Manager Risk Analytics jobs?

Cities near Millbrae, CA with the most Manager Risk Analytics job openings:

Manager Risk Analytics jobs near you

Staff Risk Analyst, Consumer Risk Analytics

Intuit

Mountain View, CA • On-site

$176K - $238K/yr

Full-time

Posted 21 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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