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Model Risk Manager Jobs in California (NOW HIRING)

Role Context We are seeking an experienced Fraud Risk Manager to lead the development and execution ... Implement and refine fraud detection models using transaction data, user behavior, device ...

Security Risk Manager

San Francisco, CA · Hybrid

$194K - $220K/yr

As the Security Risk Manager, you will own Asana's internal security risk management program end-to ... Hands-on experience with quantitative risk methodologies such as FAIR, risk scoring models, or ...

Role Context We are seeking an experienced Fraud Risk Manager to lead the development and execution ... Implement and refine fraud detection models using transaction data, user behavior, device ...

Security Risk Manager

San Francisco, CA · On-site

$194K - $220K/yr

As the Security Risk Manager, you will own Asana's internal security risk management program end-to ... Hands-on experience with quantitative risk methodologies such as FAIR, risk scoring models, or ...

WAM Investment Risk Manager

Pasadena, CA · Hybrid

$175K - $200K/yr

The group includes specialists in modeling, portfolio analytics, and financial markets who work ... risk management within the financial services industry. Technical Skills Expertise in riskfactor ...

WAM Investment Risk Manager

Pasadena, CA · On-site

$175K - $200K/yr

The group includes specialists in modeling, portfolio analytics, and financial markets who work ... risk management within the financial services industry. Technical Skills • Expertise in risk ...

Security risk management * AI model and system lifecycle * AI failure modes and risk characteristics * Responsible AI practices. * You are familiar with Agentic AI workflows * You have experience ...

Risk Lead

Los Angeles, CA · On-site

$200K - $250K/yr

Chair or actively participate in risk review meetings with portfolio managers and senior leadership. Portfolio Risk Framework : * Define and maintain portfolio risk metrics, methodologies, and models ...

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Model Risk Manager information

See California salary details

$50.8K

$110.1K

$167.8K

How much do model risk manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for model risk manager in California is $110,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $127,300.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are the most commonly searched types of Model Risk jobs in California? The most popular types of Model Risk jobs in California are:
What are popular job titles related to Model Risk Manager jobs in California? For Model Risk Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in California look for? The top searched job categories for Model Risk Manager jobs in California are:
What cities in California are hiring for Model Risk Manager jobs? Cities in California with the most Model Risk Manager job openings:

Fraud Risk Manager

Thunes

San Francisco, CA

Other

Posted 8 days ago


Job description

About Thunes

Thunes is the Smart Superhighway for money movement around the world. Thunes' proprietary Direct Global Network allows Members to make payments in real-time in over 140 countries and more than 90 currencies. Thunes' Network connects directly to over 12 billion mobile wallets and bank accounts worldwide, via more than 350 different payment methods, such as GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay and many more.

Thunes' Direct Global Network differentiates itself through its worldwide reach, in-house Smart Treasury Management Platform and Fortress Compliance Infrastructure, ensuring Members of the Network receive unrivalled speed, control, visibility, protection, and cost efficiencies when making real-time payments globally. Members of Thunes' Direct Global Network include gig economy giants like Uber and Deliveroo, super-apps like Grab and WeChat, MTOs, fintechs, PSPs and banks.

Headquartered in Singapore, Thunes has offices in 15 locations, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Shanghai, Hong Kong, Miami, Johannesburg, Riyadh, San Francisco and Atlanta For more information, visit: https://www.thunes.com/

Role Context

We are seeking an experienced Fraud Risk Manager to lead the development and execution of our fraud prevention strategy. This role will own the design, implementation, and optimization of real time fraud controls, transaction monitoring, and operational fraud processes supporting both pay in and payout ecosystems in the digital economies, virtual worlds, and creator platforms.

The ideal candidate brings deep expertise in payments fraud, operations, and data driven decision making, with the ability to balance fraud mitigation, customer experience, and operational efficiency. This role will partner closely with Compliance, Product, Engineering, Operations, and external B2B customers to strengthen the overall fraud risk framework.

Key ResponsibilitiesFraud Strategy & Program Development
  • Develop and maintain the enterprise fraud risk program across pay in and payout payment flows.
  • Define fraud risk appetite, control frameworks, and operational standards aligned with business objectives.
  • Establish fraud prevention and detection strategies for ACH, cards, wallets, wires, and alternative payment methods.
  • Design scalable fraud governance, escalation, and incident response procedures.
Real-Time Fraud Controls & Monitoring
  • Own configuration and optimization of real time fraud rules, velocity checks, behavioral monitoring, and transaction risk scoring.
  • Implement and refine fraud detection models using transaction data, user behavior, device intelligence, and external risk signals.
  • Monitor fraud trends, attack patterns, and emerging payment threats to proactively adjust controls.
  • Lead fraud tuning exercises to improve detection accuracy while minimizing false positives and customer friction.
Fraud Operations Management
  • Oversee fraud investigations, case management, and operational workflows across payment and payout channels.
  • Partner with operations teams to improve alert handling, queue management, and SLA performance.
  • Establish KPIs, reporting, and dashboards for fraud performance, operational efficiency, and loss trends.
  • Support dispute, chargeback, account takeover, synthetic identity, and payment abuse investigations.
B2B Customer Support & Advisory
  • Act as a fraud subject matter expert for B2B customers and internal stakeholders.
  • Support customer onboarding and ongoing fraud risk reviews for high-risk clients, payment flows, and use cases.
  • Provide recommendations to customers on fraud controls, transaction monitoring, and operational best practices.
  • Assist with escalations related to fraud events, suspicious activity, and payment abuse.
Cross-Functional Partnership
  • Collaborate with Product and Engineering teams to implement fraud tooling, integrations, and automation initiatives.
  • Partner with Compliance, AML, and Risk teams to ensure alignment between fraud controls and regulatory obligations.
  • Support vendor evaluations and management for fraud tools, KYC/KYB providers, and risk intelligence platforms.
  • Contribute to audits, regulatory inquiries, and internal control assessments related to fraud risk management.
Qualifications
  • 5+ years of experience in fraud risk management within payments, fintech, banking, or financial services.
  • Strong understanding of payment ecosystems including cards, ACH, wallets, and payout platforms.
  • Experience managing real time fraud monitoring systems and fraud decisioning tools.
  • Knowledge of account takeover, synthetic identity fraud, first party fraud, chargebacks, and payment abuse trends.
  • Experience with fraud vendors and tools such as Stripe Radar, Kount, Unit21, or similar platforms.
  • Ability to analyze transaction data and translate fraud insights into operational controls and strategic recommendations.
  • Strong stakeholder management and communication skills.
  • Experience building fraud processes in high growth or evolving operational environments is preferred.
Preferred Skills
  • Experience supporting B2B payment environments.
  • Experience with SQL, BI tools, or fraud analytics platforms.
  • Experience developing fraud metrics, dashboards, and executive reporting.