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Remote Fraud Risk Management Jobs in California (NOW HIRING)

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

Partner with product managers, engineers, and risk/compliance teams to support the design of new ... Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle ...

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... The role manages a team, reports to the Head of Risk & Compliance, and works closely with Disputes ...

... risk management and governance processes. * Evaluate entity-level controls and the overall control environment. * Support fraud risk assessments and development of monitoring programs. * Assess risks ...

We are looking for a Complaint & Fraud Escalation Specialist to join our Risk Management team to ... Remote work may be considered for exceptional cases. RESPONSIBILITIES: * Serve as the primary point ...

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Showing results 21-40

Remote Fraud Risk Management information

What is remote fraud risk management?

Remote Fraud Risk Management refers to the processes and strategies used to detect, prevent, and respond to fraudulent activities in digital environments, especially when employees and operations are distributed or working remotely. This role involves monitoring transactions, analyzing data for suspicious patterns, and implementing security measures to minimize risks. Professionals in this field work closely with IT, compliance, and legal teams to ensure that systems and data remain secure despite the challenges of remote work. Effective remote fraud risk management is critical for protecting organizations from financial losses and reputational damage.

How does a remote fraud risk management professional typically collaborate with cross-functional teams to mitigate risks?

Remote Fraud Risk Management professionals regularly work alongside departments such as IT, compliance, customer service, and legal to identify and address potential fraud threats. Collaboration often involves virtual meetings, sharing data insights, and developing joint strategies to detect suspicious activity. Effective communication and the ability to explain complex risk scenarios to non-specialists are crucial. This cross-functional teamwork ensures that fraud prevention measures are integrated throughout the organization and that responses to incidents are swift and coordinated.

What are the key skills and qualifications needed to thrive in remote fraud risk management, and why are they important?

To thrive in Remote Fraud Risk Management, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field, often supported by relevant certifications such as CFE (Certified Fraud Examiner). Familiarity with fraud detection software, data analysis tools, and case management systems is typically required. Excellent communication, critical thinking, and problem-solving abilities set top performers apart in this role. These skills and qualities are essential for effectively identifying, preventing, and responding to fraudulent activities in a remote environment.

What is the difference between Remote Fraud Risk Management vs Remote Fraud Analyst?

AspectRemote Fraud Risk ManagementRemote Fraud Analyst
CredentialsCertifications in fraud prevention, risk management, or related fieldsBasic knowledge of fraud detection, often with certifications like ACFE or similar
Work EnvironmentStrategic, policy development, and oversight roles within organizationsOperational, investigative roles focused on analyzing transactions and detecting fraud
Employer & Industry UsageFinancial institutions, e-commerce, and fintech companiesBanking, online retail, and payment processing companies
Search & Comparison IntentUnderstanding strategic risk management roles in fraud preventionOperational roles focused on fraud detection and analysis

Remote Fraud Risk Management involves developing policies and overseeing fraud prevention strategies, while Remote Fraud Analysts focus on analyzing transactions to detect and investigate fraud. Both roles are essential in combating fraud but differ in scope and responsibilities.

What are popular job titles related to Remote Fraud Risk Management jobs in California?

For Remote Fraud Risk Management jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Fraud Risk Management jobs?

Cities in California with the most Remote Fraud Risk Management job openings:

Infographic showing various Remote Fraud Risk Management job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Analyst

San Francisco, CA • On-site, Remote

Cardless
Software Development • 11 - 50 employees

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you’ll work across domains including applications, accounts, transactions, fraud, risk, rewards, and partner operations to support high-impact initiatives and ensure the reliability, accuracy, and efficiency of our core systems and business workflows.

As an analyst at Cardless, you’ll dive deep into data, identify opportunities, streamline operational processes, and collaborate closely with cross-functional teams to deliver insights and durable improvements to our platform.

Responsibilities

  • Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights

  • Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance

  • Partner with product managers, engineers, and risk/compliance teams to support the design of new features, workflows, and policies

  • Evaluate and optimize business processes across the customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)

  • Perform deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation

  • Support forecasting, business reviews, and strategic planning with clear, data-driven analysis

  • Contribute to improving data quality, documentation, and analytical rigor across the organization

  • For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions

Requirements

  • 3–7 years of experience in an analytical, operations, strategy, or data-focused role

  • Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)

  • Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)

  • Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)

  • Experience working with large datasets and building reliable reporting/dashboarding (Looker, Tableau, Omni, Mode, or similar)

  • Solid understanding of business processes, KPIs, and analytical frameworks; able to independently break down ambiguous problems

  • Excellent communication skills — able to translate complex analysis into clear insights for technical and non-technical partners

  • Track record of collaborating effectively with product, engineering, or operations teams

  • Ability to manage multiple priorities, take ownership, and drive projects end-to-end

  • Curiosity, attention to detail, and a passion for building well-structured analytical systems and business processes

  • Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics

Nice to have

  • Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations

  • Familiarity with financial systems, reconciliation workflows, or data integrity challenges

  • Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics

Why Cardless

You’ll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We’re building products that enable leading brands to offer credit in new ways — and we’re just getting started.

This role has an annual starting salary range of $130,000-$200,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.

Benefits

We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:

Meaningful Start-up equity

100% health, vision & dental primary coverage

➕ 75% health, vision & dental dependent coverage

Catered lunches

$250/month Commuter benefit

Parental leave

✈️ Team building events & happy hours

Flexible PTO with a minimum of 15 days off per year

️ Apple equipment

401k plan

Location

We're headquartered in San Francisco, CA, with a beautiful office in Jackson Square. We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.

We regularly bring our team together for offsites & trips, about every 2 months, both for fun and for work. We cover all travel & lodging in these cases.