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Associate Risk Manager Jobs in San Jose, CA (NOW HIRING)

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How much do associate risk manager jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate risk manager in San Jose, CA is $29.79, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $34.95 per hour, depending on experience, location, and employer.

What does an associate risk manager do?

An Associate Risk Manager is responsible for helping organizations identify, assess, and minimize risks that could impact their operations, finances, or reputation. They work closely with senior risk managers to develop risk management strategies, conduct risk assessments, and implement control measures. Their duties may also include analyzing data, preparing reports, and ensuring compliance with regulatory requirements. This role is often entry-level or early-career, providing foundational experience in risk management practices. Associate Risk Managers play a key role in supporting the overall risk management framework within an organization.

What are the key skills and qualifications needed to thrive as an associate risk manager?

To thrive as an Associate Risk Manager, you need strong analytical abilities, knowledge of risk assessment methodologies, and a bachelor's degree in finance, business, or a related field. Familiarity with risk management software, Microsoft Excel, and relevant certifications such as CRM or FRM are commonly expected. Excellent communication, problem-solving skills, and attention to detail help you collaborate effectively and identify potential risks. These competencies are crucial for identifying, evaluating, and mitigating organizational risks to support informed decision-making and safeguard company assets.

What are some common challenges an associate risk manager faces when collaborating across departments?

Associate Risk Managers often work closely with various departments such as finance, operations, and compliance to identify and mitigate risks. A common challenge is ensuring clear communication and alignment, as different teams may have varying priorities and levels of risk awareness. Successfully navigating these dynamics requires strong interpersonal skills and the ability to translate complex risk concepts into actionable recommendations for non-specialists. Building trust and maintaining open lines of communication are key to fostering effective cross-departmental collaboration.

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

AspectAssociate Risk ManagerRisk Analyst
CredentialsBachelor's degree, certifications like CRM or FRM often preferredBachelor's degree, certifications like CRM or FRM beneficial
Work EnvironmentCollaborates with risk management teams, involved in strategy developmentAnalyzes data, assesses risks, supports risk management decisions
Employer & Industry UsageInsurance, banking, corporate risk departmentsFinancial services, insurance, consulting firms

The Associate Risk Manager and Risk Analyst roles share similar credentials and industry usage, but the Associate Risk Manager typically has more involvement in strategic planning and risk mitigation efforts, whereas the Risk Analyst focuses more on data analysis and risk assessment support.

Do associate risk managers make good money?

Associate risk managers typically earn a salary that varies by industry and location, with median annual wages around $70,000 to $90,000. Entry-level positions may start lower, while experienced professionals with certifications like CRM or FRM can earn higher salaries and bonuses. Compensation also depends on the size of the organization and the complexity of the risk management responsibilities.

Is risk manager a stressful job?

A risk manager role involves identifying and assessing potential risks to an organization, which can be stressful due to the responsibility of preventing financial or operational losses. The level of stress depends on the industry, company size, and workload, but strong analytical skills and risk management tools are essential for success.

What is an associate risk manager?

An associate risk manager is an entry-level or junior professional responsible for assisting in identifying, assessing, and mitigating risks within an organization. They often support senior risk managers by analyzing data, preparing reports, and implementing risk management strategies, typically requiring knowledge of industry standards and risk assessment tools.

What are the most commonly searched types of Risk Manager jobs in San Jose, CA?

The most popular types of Risk Manager jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Associate Risk Manager jobs?

Cities near San Jose, CA with the most Associate Risk Manager job openings:

Associate Risk Manager jobs near you
Infographic showing various Associate Risk Manager job openings in San Jose, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $61,954 per year, or $29.8 per hour.

Associate Fraud Risk Data Scientist

5 Star Global Recruitment Partners

San Jose, CA • On-site, Remote

$69K - $69K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Associate Fraud Risk Data Scientist

San Jose, California, United States

Associate Fraud Risk Data Scientist

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.

We'd love to chat if you have:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
  • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes
  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Key Job Functions:

  • Design and develop machine learning and AI models detect/mitigate fraud
  • Support stakeholders and cross-functional teams in effective usage of models
  • Drive AI transformation for all risk management activities at BILL
  • Work with product/engineering to implement, monitor and refine AI solutions and models

Expected Outcomes:

  • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions.
  • Utilize data analysis to design and implement fraud models
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers.
  • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
  • Development of dashboard and visualizations to track KPI of fraud models implemented

Preferred Skills:

  • Machine Learning & Artificial Intelligence
  • Data Science
  • Model development
  • Dashboard Creation
  • Project Management
  • Strong Communication Skills.

Notes from Hiring Manager:

  • Strong SQL proficiency
  • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
  • Proficiency in AWS Quicksight and Tableau
  • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced.
  • Strictly contract to cover multiple leaves over a 1 yr. period.
  • Potential to extend based on business need and performance.
  • Day shift: M-F Pacific time
  • Multiple Zoom interviews (2-3) SQL assessment during 1st interview.

MUST HAVE:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Apply