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How much do junior risk analyst jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for junior risk analyst in California is $31.70, according to ZipRecruiter salary data. Most workers in this role earn between $22.79 and $34.86 per hour, depending on experience, location, and employer.

What is the salary of risk analyst in JP Morgan?

The salary of a Junior Risk Analyst at JP Morgan typically ranges from $60,000 to $80,000 annually, depending on experience, location, and education. Entry-level analysts may also receive bonuses and benefits as part of their compensation package.

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 analysts earning over $100,000, especially in finance or insurance sectors. Skills in data analysis, risk assessment, and certifications like FRM or CFA can enhance earning potential.

What are the typical responsibilities of a Junior Risk Analyst on a day-to-day basis?

As a Junior Risk Analyst, your daily tasks often include gathering and analyzing data related to market, credit, or operational risks, preparing risk reports, and assisting with the development of risk models. You may also support more senior analysts with research projects, help monitor compliance with risk policies, and participate in meetings to discuss findings and recommendations. Collaboration with other departments, such as finance, compliance, and operations, is common to ensure all relevant data is considered. This role provides hands-on experience in risk assessment processes and working as part of a broader risk management team, making it a great opportunity to learn and grow in the field.

What is a Junior Risk Analyst job?

A Junior Risk Analyst is an entry-level professional responsible for identifying, assessing, and mitigating potential risks within an organization. They analyze financial data, market trends, and operational processes to help senior risk analysts and management make informed decisions. Key tasks include data collection, risk modeling, report preparation, and ensuring compliance with regulatory guidelines. Strong analytical skills, attention to detail, and knowledge of risk management principles are essential for success in this role.

How to become a risk analyst with no experience?

To become a junior risk analyst with no experience, focus on gaining relevant skills such as data analysis, financial modeling, and understanding risk management principles through online courses or certifications like FRM or CAP. Entry-level roles often require a bachelor's degree in finance, economics, or related fields, and internships or volunteer work can help build practical experience. Developing proficiency in tools like Excel, SQL, or risk management software can also improve your chances of entry.

Is risk analyst a good career?

A risk analyst is a professional who assesses and manages potential financial or operational risks for organizations, often requiring skills in data analysis, statistical tools, and industry knowledge. The role offers opportunities for career growth, specialization, and competitive salaries, especially with relevant certifications like FRM or CRM. It is considered a stable and valuable career path in finance, insurance, and corporate sectors.

What are the key skills and qualifications needed to thrive in the Junior Risk Analyst position, and why are they important?

To thrive as a Junior Risk Analyst, you need strong analytical abilities, attention to detail, and a degree in finance, economics, mathematics, or a related field. Familiarity with risk management software, Excel, data analysis tools, and an understanding of regulatory frameworks such as Basel or SOX are beneficial, and certifications like FRM or CFA are advantageous. Effective communication, critical thinking, and a collaborative mindset are key soft skills for excelling in this role. These competencies enable you to accurately assess risks, contribute valuable insights, and work seamlessly within interdisciplinary teams to support organizational decision-making.

What are the most commonly searched types of Risk Analyst jobs in California? The most popular types of Risk Analyst jobs in California are:
What are popular job titles related to Junior Risk Analyst jobs in California? For Junior Risk Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Junior Risk Analyst jobs in California look for? The top searched job categories for Junior Risk Analyst jobs in California are:
What cities in California are hiring for Junior Risk Analyst jobs? Cities in California with the most Junior Risk Analyst job openings:
Junior Risk Analyst jobs near you
Infographic showing various Junior Risk Analyst job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,928 per year, or $31.7 per hour.

Engagement Manager - Credit Risk Strategy

Inizio Partners

Sunnyvale, CA

Other

Posted 10 days ago

Job description

Role: Engagement Manager - Credit Risk Strategy

Location: Bay Area

Type: Hybrid (2-3 days from office)

Roles & Responsibilities

As a Senior Risk Strategy Leader, you will lead the design and execution of enterprise-scale, data-driven financial risk and fraud strategies across money movement products. You will own strategic risk policy direction and oversee the end-to-end policy lifecycle — from opportunity identification and hypothesis development to testing, deployment, monitoring, and optimization — leveraging large-scale data to balance risk mitigation, customer experience, and sustainable business growth. You will serve as a strategic partner to senior leadership and collaborate cross-functionally to drive scalable risk solutions and respond to critical business and risk events.

  • Lead the development and execution of financial risk and fraud strategies supporting key business initiatives and rapidly evolving risk environments
  • Provide strategic oversight during high-severity and time-sensitive risk incidents, driving coordinated response and mitigation actions
  • Leverage advanced analytics, statistical modelling, and deep domain expertise to design scalable risk frameworks using large-scale transactional and account-level data
  • Own and optimize the end-to-end risk strategy and policy lifecycle: opportunity identification, strategy design, experimentation, deployment, governance, monitoring, and continuous improvement
  • Drive portfolio-level risk management strategies across underwriting, fraud, credit, and money movement products while balancing risk, growth, and customer experience objectives
  • Partner with senior stakeholders across Data Science, Risk Operations, Product, Engineering,
  • Finance, Compliance, and Analytics teams to influence strategic decisions and business outcomes
  • Lead segmentation strategy development, portfolio analytics, and performance deep dives to identify emerging risks and growth opportunities
  • Design and refine underwriting frameworks, credit limits, eligibility policies, and customer risk segmentation strategies
  • Establish scalable monitoring frameworks and governance processes to proactively manage portfolio trends, concentration risks, and segment-level performance
  • Drive hypothesis-led innovation and experimentation to improve approval rates, reduce losses, and enhance operational efficiency
  • Mentor and guide junior analysts and strategy team members, fostering analytical excellence and strategic thinking across the organization
  • Communicate complex analytical insights and strategic recommendations effectively to executive leadership and cross-functional stakeholders

Key Business Problems / Use Cases:

  • Enterprise-scale underwriting, credit policy, and eligibility strategy optimization
  • Portfolio risk management, concentration risk assessment, and performance monitoring across customer segments
  • Fraud strategy design and money movement risk mitigation across payment ecosystems
  • Financial loss forecasting, behavioural modelling, and risk-adjusted growth optimization using payments, card/ACH, and account-level data
  • Hypothesis-driven strategy development and experimentation to improve customer outcomes and portfolio profitability
  • End-to-end risk policy lifecycle management: strategy design experimentation deployment governance optimization
  • Scenario modelling and impact assessment for new products, market expansions, and policy changes
  • Cross-functional strategic planning to balance growth, operational efficiency, compliance, and risk exposure
  • Extensive experience in risk strategy, credit policy, underwriting, fraud strategy, or financial analytics within financial services or fintech environments
  • Proven track record of leading large-scale analytical initiatives and influencing strategic business decisions
  • Strong expertise in leveraging large datasets and advanced analytical techniques to solve complex business and risk problems
  • Advanced proficiency in SQL and Python for analytics, modelling, and strategy implementation
  • Deep experience in statistical modelling, forecasting, risk analytics, and experimental design
  • Strong business acumen with the ability to translate complex analytical insights into actionable strategic recommendations
  • Excellent executive communication, stakeholder management, and cross-functional leadership skills
  • Experience operating in fast-paced, high-growth, and highly regulated environments
  • Demonstrated ability to mentor teams, drive collaboration, and influence senior leadership

Candidate Profile:

Preferred Qualifications:

  • Bachelor's degree in quantitative fields such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering
  • Master's degree or MBA in a quantitative or business discipline preferred
  • Experience in financial services, fintech, banking, payments, or risk management domains
  • Exposure to money movement products, payment ecosystems, fraud operations, or lending platforms
  • Experience building scalable risk frameworks, governance models, and automated decisioning systems
  • Familiarity with modern data platforms, BI tools, and large-scale experimentation frameworks

Apply