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Portfolio Risk Management Internship Jobs in California

Cerity Partners

Portfolio Manager

Irvine, CA · On-site

$120K - $170K/yr

This role combines hands-on portfolio management with leadership responsibilities, guiding a team of investment professionals to deliver consistent, risk-adjusted returns aligned with client ...

Ceritypartners

Portfolio Manager

Irvine, CA

$120K - $170K/yr

This role combines hands-on portfolio management with leadership responsibilities, guiding a team of investment professionals to deliver consistent, risk-adjusted returns aligned with client ...

Newegg

Director, Risk Management

Diamond Bar, CA · On-site

Oversee Newegg's full corporate insurance portfolio, including but not limited to D&O, E&O ... Oversee coordination of risk management efforts related to physical security, safety, and ...

Netflix

Head of Risk Management

Los Angeles, CA

The successful candidate will be a strategic risk executive and thought leader with a proven track record of building and leading highperforming teams and managing a diverse portfolio of global risks.

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Hyundai Capital

Risk Analytics Manager

Irvine, CA

This role will provide accurate and current information in support of department and business' policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators.

Hyundai Capital

Risk Analytics Manager

Irvine, CA · On-site

$100K - $155K/yr

This role will provide accurate and current information in support of department and business' policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators.

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Portfolio Risk Management Internship information

What is the difference between Portfolio Risk Management Internship vs Portfolio Risk Analyst?

AspectPortfolio Risk Management InternshipPortfolio Risk Analyst
CredentialsTypically pursuing or recent graduate, some finance or risk-related courseworkBachelor's or master's in finance, economics, or related field; relevant certifications preferred
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, responsible for analyzing and managing risk
Employer & IndustryFinancial firms, asset managers, banksFinancial institutions, investment firms, asset management companies
Search & Comparison IntentEntry-level, internship opportunities, learning rolesFull-time career positions, risk analysis roles

The main difference is that a Portfolio Risk Management Internship is an entry-level, temporary position designed for students or recent graduates gaining exposure to risk management. In contrast, a Portfolio Risk Analyst is a full-time professional responsible for ongoing risk assessment and management within financial firms. Internships often serve as a stepping stone toward a full analyst role.

What are the key skills and qualifications needed to thrive as a Portfolio Risk Management Intern, and why are they important?

To thrive as a Portfolio Risk Management Intern, you need strong quantitative analysis skills, a background in finance or economics, and proficiency in data interpretation. Familiarity with risk management software, Excel, and statistical tools such as Python or R is highly valued, along with coursework or certifications in risk or investment management. Attention to detail, problem-solving abilities, and effective communication are important soft skills for collaborating with teams and presenting findings. These skills ensure accurate risk assessment, informed decision-making, and valuable support to the portfolio management process.

What types of projects and responsibilities can I expect during a Portfolio Risk Management Internship?

As a Portfolio Risk Management intern, you can expect to assist with analyzing financial data, identifying potential risks to investment portfolios, and supporting the development of risk mitigation strategies. Interns often work closely with senior analysts and portfolio managers, using quantitative tools to assess market and credit risk exposures. You may also help prepare risk reports and participate in meetings where findings are discussed. This hands-on experience offers valuable insight into how risk management decisions are made within investment teams.

What is a Portfolio Risk Management Internship?

A Portfolio Risk Management Internship is a temporary position, often for students or recent graduates, focused on supporting the risk management activities of an investment portfolio. Interns typically assist in analyzing financial data, identifying potential risks, and helping develop strategies to mitigate those risks within a portfolio of assets. This role provides hands-on experience with risk assessment tools, exposure to financial markets, and insights into how investment decisions are made. Interns may work closely with portfolio managers, analysts, and risk professionals to understand and manage the balance between risk and return.
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Portfolio Risk Management Internship jobs near you

Engagement Manager - Credit Risk Strategy

Inizio Partners

San Francisco, CA • On-site

$160K - $180K/yr

Full-time

Re-posted 23 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