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Model Risk Management Jobs in Dublin, CA (NOW HIRING)

... Treasury Management Platform and Fortress Compliance Infrastructure, ensuring Members of the ... Implement and refine fraud detection models using transaction data, user behavior, device ...

... Treasury Management Platform and Fortress Compliance Infrastructure, ensuring Members of the ... Implement and refine fraud detection models using transaction data, user behavior, device ...

Expertise in security risk management models (e.g., FAIR, OCTAVE, NIST RMF, ISO 27005) and regulatory frameworks. * Proficiency in threat modeling, data analytics, AI/ML, and automation tools for ...

Risk Management * Develop, implement, and maintain a risk management framework aligned with operational delivery models and client requirements. * Identify, assess, and monitor operational, safety ...

Risk Management * Develop, implement, and maintain a risk management framework aligned with operational delivery models and client requirements. * Identify, assess, and monitor operational, safety ...

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Model Risk Management information

See Dublin, CA salary details

$41.1K

$92.7K

$155.4K

How much do model risk management jobs pay per year?

As of Jun 13, 2026, the average yearly pay for model risk management in Dublin, CA is $92,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $101,900.00 per year, depending on experience, location, and employer.

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

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What are some common challenges faced by professionals in Model Risk Management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What is a Model Risk Management job?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What is the salary of model risk validation?

Model risk validation professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in statistical modeling and regulatory knowledge can earn higher salaries, often exceeding $180,000. Certifications such as FRM or CFA can also influence compensation in this field.

Is model risk management a good career?

Model risk management is a specialized field focused on identifying and mitigating risks associated with financial and statistical models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is in demand within financial institutions, regulatory agencies, and consulting firms, making it a stable career choice for those interested in risk analysis and quantitative methods.

What do model risk managers do?

Model risk managers are responsible for identifying, assessing, and mitigating risks associated with financial and operational models used within an organization. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using specialized tools and techniques. Their work helps prevent model errors from leading to financial loss or regulatory issues.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills, especially in financial institutions or large corporations.
What job categories do people searching Model Risk Management jobs in Dublin, CA look for? The top searched job categories for Model Risk Management jobs in Dublin, CA are:
What cities near Dublin, CA are hiring for Model Risk Management jobs? Cities near Dublin, CA with the most Model Risk Management job openings:

Fraud Risk Manager

Thunes

San Francisco, CA • On-site

Full-time

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 Responsibilities
Fraud 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.