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Remote Apple Fraud Prevention Jobs (NOW HIRING)

Design and deliver the fraud prevention roadmap, including build vs buy decisions, system ... Flexible work location (remote, office, or hybrid, with travel opportunities) * Strong career ...

Fraud Specialist

$84K - $85K/yr

We are a remote first employer with the majority of our employees residing in the upper Midwest. As ... prevention are the goal. * Monitoring fraud software program (Verafin) for compliance with fraud ...

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Fraud Hotline Agent

$18.75 - $25/hr

Act as the main liaison between various business lines and clients to facilitate fraud prevention ... Remote

... fraud prevention strategies * Build and enhance analytical frameworks and metrics to proactively ... Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at ...

... prevent fraud. * Working cross-functionally to improve fraud detection processes and enhance the ... USA (Remote) Why Veriff? We are the preferred identity verification platform partner for the world ...

... fraud prevention. You will work closely with Risk Operations, Payments, Growth, and Senior ... Remote work environment (with office locations in Miami and Mexico City; hybrid model available for ...

This position is a remote position. Position Overview: * Review and validate eCommerce orders and customer payment details to ensure compliance with fraud prevention guidelines, service levels (SLAs ...

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Remote Apple Fraud Prevention information

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How much do remote apple fraud prevention jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote apple fraud prevention in the United States is $30.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $35.34 per hour, depending on experience, location, and employer.

What is the difference between Remote Apple Fraud Prevention vs Remote Apple Customer Support?

AspectRemote Apple Fraud PreventionRemote Apple Customer Support
Primary RoleDetecting and preventing fraudulent activities related to Apple products and servicesAssisting customers with product issues, account management, and technical support
Required SkillsFraud detection, security protocols, analytical skillsCustomer service, troubleshooting, communication skills
CertificationsSecurity certifications, knowledge of fraud prevention toolsCustomer service certifications, Apple product knowledge
Work EnvironmentRemote, security-focused teams within tech companiesRemote, customer service centers or tech companies

Remote Apple Fraud Prevention specialists focus on safeguarding Apple users by identifying and preventing fraudulent activities, requiring security expertise. In contrast, Remote Apple Customer Support representatives assist users with technical issues and account management. Both roles are remote and industry-related but differ in their core responsibilities and skill sets.

What are Remote Apple Fraud Prevention jobs?

Remote Apple Fraud Prevention jobs involve working for Apple or its partners to detect, investigate, and prevent fraudulent activities related to Apple’s products, services, and accounts. Employees in these roles analyze suspicious transactions, respond to customer reports of fraud, and use advanced tools to identify patterns of fraudulent behavior. The work is typically performed from home, requiring strong analytical skills, attention to detail, and familiarity with Apple’s security protocols. These roles play a vital part in protecting both Apple and its customers from financial loss and security breaches.

What are some common challenges faced by Remote Apple Fraud Prevention specialists, and how can they be addressed?

Remote Apple Fraud Prevention specialists often encounter challenges such as quickly identifying new fraud patterns, managing high volumes of suspicious activity, and staying updated with evolving scam techniques. Working remotely may also require effective communication with team members and other departments to resolve cases efficiently. To address these challenges, specialists should engage in ongoing training, utilize advanced fraud detection tools, and actively participate in team meetings to share insights and coordinate responses.

What are the key skills and qualifications needed to thrive as a Remote Apple Fraud Prevention Specialist, and why are they important?

To thrive as a Remote Apple Fraud Prevention Specialist, you need strong analytical skills, attention to detail, and familiarity with fraud detection, typically supported by experience in customer service or fraud investigation. Proficiency with Apple's internal fraud monitoring tools, CRM systems, and secure data-handling protocols is essential. Excellent communication, critical thinking, and problem-solving abilities help you effectively assess incidents and reassure customers. These skills ensure accurate fraud detection, protect customer accounts, and maintain trust in Apple's services.
More about Remote Apple Fraud Prevention jobs
What cities are hiring for Remote Apple Fraud Prevention jobs? Cities with the most Remote Apple Fraud Prevention job openings:
What are the most commonly searched types of Apple Fraud Prevention jobs? The most popular types of Apple Fraud Prevention jobs are:
What states have the most Remote Apple Fraud Prevention jobs? States with the most job openings for Remote Apple Fraud Prevention jobs include:
Infographic showing various Remote Apple Fraud Prevention job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $64,132 per year, or $30.8 per hour.
Fraud Strategist, Quantitative

Fraud Strategist, Quantitative

PlayStation Global

San Mateo, CA • On-site, Remote

$138K - $178K/yr

Other

Posted 19 days ago


Job description

Fraud Strategist, Quantitative
San Mateo or San Diego, CA (hybrid)  
US Remote (considered) 

Role overview:

As a member of the Fraud Strategy team, you will analyze transactional and historical data using various methodologies to generate insights that optimize fraud prevention and payment decisioning. Your work will support our mission to enhance security and reduce friction, ensuring customers can safely log in, play, and make purchases across the PlayStation ecosystem. Through your domain expertise and a deep understanding of our data, your insights and analysis will play a pivotal role in our strategy for this area.

What you'll be doing:

  • Apply advanced mathematical, statistical, and computational methods to solve complex fraud and revenue optimization problems

  • Perform in-depth analysis to address key strategic areas in the customer journey, decipher analytical results, and deliver insights using hypothesis testing and experimental design

  • Perform ad hoc modelling and analysis to understand broad trends within and across our data, evaluate vendor solutions, and drive our roadmap strategy

  • Work closely with other Fraud Strategists, Data Scientists, and ML Engineers to collaborate on areas of opportunity

  • Share and simplify findings to tell stories of analyses through dashboards, reports, data visualisations, and other internal forums

What we're looking for:

  • 5+ years or equivalent in related quantitative analysis experience in a subject area relevant to fraud and payments

  • Solid technical skills in SQL, Python, or equivalent. Additional knowledge of data visualization tools (Tableau, Domo, etc.)

  • Bachelor's degree or equivalent experience in Economics, Finance, Statistics, Mathematics, Machine Learning, or other quantitative field

  • Solid understanding of financial, mathematical, and statistical theories and practices, and a deep understanding of the modelling process and model performance indicators

  • Experience with ML/AI models is a plus

  • Strong written and verbal communication

Desirable:

  • Experience in the video games industry

  • Advanced knowledge of fraud trends in digital payments, e-commerce, and online transactions

  • Language skills, particularly Japanese