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Payment Risk Manager Jobs in California (NOW HIRING)

... manage money. Intuit Fintech, one of the company's fastest-growing and most strategic business ... Drive cross-functional architecture across payments, ledgers, identity, analytics, and customer ...

... manage money. Intuit Fintech, one of the company's fastest-growing and most strategic business ... Drive cross-functional architecture across payments, ledgers, identity, analytics, and customer ...

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Wire Transfer Specialist

Long Beach, CA · On-site

$22.50 - $30/hr

Knowledge of fraud detection and payment risk management. * Experience with Fiserv, Jack Henry, FIS, or similar core banking systems. * Certified Treasury Professional (CTP) or related banking ...

Apply Early

Be Seen First

Wire Transfer Specialist

Long Beach, CA · On-site

$22.50 - $30/hr

Knowledge of fraud detection and payment risk management. * Experience with Fiserv, Jack Henry, FIS, or similar core banking systems. * Certified Treasury Professional (CTP) or related banking ...

Apply Early

The Risk and Insurance Analyst support Vuori's risk management function by combining hands-on ... Payment Management * Track and follow up on the timely payment of insurance and legal invoices ...

The Risk and Insurance Analyst support Vuori's risk management function by combining hands-on ... Payment Management * Track and follow up on the timely payment of insurance and legal invoices ...

Apply Early

The Risk and Insurance Analyst support Vuori's risk management function by combining hands-on ... Payment Management * Track and follow up on the timely payment of insurance and legal invoices ...

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Showing results 1-20

Payment Risk Manager information

What is the difference between Payment Risk Manager vs Credit Analyst?

AspectPayment Risk ManagerCredit Analyst
Required CredentialsBachelor's degree, certifications like CRCM or RMA often preferredBachelor's degree in finance, economics, or related field; certifications like CFA or credit analysis courses
Work EnvironmentFinancial institutions, payment processing companies, e-commerce firmsBanks, lending institutions, credit bureaus
Employer & Industry UsageFocuses on managing payment fraud and risk in transaction environmentsEvaluates creditworthiness of individuals or businesses for lending decisions

The Payment Risk Manager primarily focuses on mitigating risks associated with payment transactions, while the Credit Analyst assesses creditworthiness for lending. Both roles require financial knowledge and analytical skills but serve different aspects of financial risk management.

What does a Payment Risk Manager do?

A Payment Risk Manager is responsible for identifying, assessing, and mitigating risks related to payment transactions within a company. They develop strategies to detect and prevent fraud, monitor payment activities, ensure compliance with relevant regulations, and analyze transaction data to identify suspicious patterns. Their work helps protect both the organization and its customers from financial losses and ensures secure and efficient payment processes.

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

To thrive as a Payment Risk Manager, you need a strong background in finance, risk assessment, data analysis, and a relevant degree in business, finance, or a related field. Familiarity with payment processing systems, fraud detection tools, and risk management software, as well as certifications like Certified Fraud Examiner (CFE), are typically required. Excellent problem-solving, critical thinking, and communication skills help professionals stand out in this role. These skills and qualifications are crucial for effectively identifying, mitigating, and preventing payment risks, ensuring financial security and compliance within organizations.

What are some common challenges a Payment Risk Manager faces when implementing fraud prevention strategies?

Payment Risk Managers often encounter challenges balancing effective fraud prevention with a smooth customer experience. Implementing robust controls can sometimes result in false positives, inadvertently blocking legitimate transactions and frustrating customers. Additionally, staying ahead of constantly evolving fraud tactics requires continuous learning and adaptation, as well as close collaboration with IT, compliance, and customer support teams. Regularly updating risk models and fostering communication across departments are key to addressing these challenges effectively.
What are popular job titles related to Payment Risk Manager jobs in California? For Payment Risk Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Payment Risk Manager jobs in California look for? The top searched job categories for Payment Risk Manager jobs in California are:
What cities in California are hiring for Payment Risk Manager jobs? Cities in California with the most Payment Risk Manager job openings:
Infographic showing various Payment Risk Manager job openings in California as of June 2026, with employment types broken down into 69% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Senior Staff Risk Engineer

Senior Staff Risk Engineer

Intuit

Mountain View, CA • On-site

Full-time

Posted 3 days ago


Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

79th of 202 rated software companies


Job description

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving over 50 million customers worldwide, we are redefining how individuals and businesses manage money.
Intuit Fintech, one of the company's fastest-growing and most strategic business units, is seeking a Senior Staff Software Engineer to lead the long-term technology vision and architecture of the Fintech Risk Platform.
This role sits at the center of trillion-dollar money movement, where you will design and drive systems that protect customers, minimize fraud, reduce churn, and optimize risk loss rates-all while enabling seamless financial experiences. You will operate at the intersection of risk intelligence, large-scale distributed systems, AI/GenAI, and financial infrastructure, shaping platforms that must be highly reliable, explainable, and globally scalable.
This is a technical leadership role requiring deep expertise, strategic thinking, and the ability to influence across engineering, product, data science, compliance, and executive stakeholders.
Responsibilities
Technology Vision & Strategy
  • Define and drive the multi-year technical vision and architecture for the Fintech Risk Platform, aligning with Intuit's broader financial ecosystem strategy.
  • Architect systems capable of supporting $1T+ annual money movement with industry-leading availability, latency, and security guarantees.
  • Establish a forward-looking roadmap for risk intelligence, leveraging AI/ML and GenAI to evolve from reactive fraud detection to proactive risk prevention and autonomous decisioning.
  • Balance risk mitigation, customer experience, and growth, ensuring optimal trade-offs between fraud prevention, false positives, and customer friction.

System Architecture & Cross-Functional Design
  • Lead the design of end-to-end risk decisioning systems, spanning transaction processing, identity verification, fraud detection, compliance, and dispute handling.
  • Drive cross-functional architecture across payments, ledgers, identity, analytics, and customer platforms to ensure cohesive and scalable solutions.
  • Establish real-time and batch risk pipelines that unify signals across the ecosystem to deliver consistent, low-latency decisions.
  • Ensure systems are auditable, explainable, and compliant with evolving financial regulations.

Building High-Impact, Planet-Scale Systems
  • Design and oversee platforms that operate at extreme scale, handling billions of transactions with sub-second risk decisions.
  • Lead the development of resilient, fault-tolerant distributed systems with strong consistency guarantees for financial correctness.
  • Drive innovations in risk scoring, anomaly detection, and behavioral modeling to significantly reduce fraud and abuse.
  • Optimize systems to reduce fraud loss rate, minimize customer friction, and increase approval rates for good transactions.

AI/ML & Data-Driven Risk Intelligence
  • Champion the integration of advanced ML models and GenAI into risk workflows, including:
  • Fraud detection and classification
  • Identity risk assessment
  • Adaptive policy generation
  • Explainable AI for compliance and auditability
  • Define best practices for model lifecycle management, experimentation, and real-time inference at scale.
  • Partner with data science teams to translate models into production-grade, scalable systems.

Business Impact & Metrics Ownership
  • Own and influence key business metrics, including:
  • Fraud loss rate reduction
  • False positive rate / customer friction
  • Customer churn due to risk decisions
  • Approval rates and revenue protection
  • Establish measurement frameworks, experimentation strategies (A/B testing), and executive dashboards to guide decision-making.
  • Continuously refine systems to maximize trust while enabling growth.

Technical Leadership & Influence
  • Act as a technical authority across multiple organizations, influencing architecture, design standards, and engineering practices.
  • Lead and mentor senior and staff engineers, raising the overall technical bar across the organization.
  • Drive engineering excellence in scalability, reliability, observability, and security.
  • Partner with executives and cross-functional leaders to align technology investments with business priorities.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 12+ years of experience building and scaling complex distributed systems, with a strong track record of technical leadership.
  • Proven experience architecting large-scale financial systems, payment platforms, or risk/fraud systems.

Deep expertise in:
  • Backend systems (Java, Spring Boot, or equivalent)
  • Frontend technologies (React or modern frameworks)
  • Cloud platforms (AWS preferred) and distributed architectures
  • Strong experience with AI/ML systems in production, including real-time decisioning and model integration.
  • Demonstrated ability to design systems operating at extreme scale (billions of transactions, low-latency decisioning).
  • Expertise in risk analytics, fraud detection strategies, and compliance requirements in Fintech.
  • Proficiency in data technologies (Python, SQL, data pipelines, streaming frameworks).
  • Exceptional ability to drive alignment across engineering, product, data science, and business stakeholders.
  • Strong business acumen with the ability to connect technical decisions to financial outcomes and customer impact.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position in the Bay area is $220,500 - $298,500. The expected base pay range for this position in New York is $220,500 - $298,000.

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