Fraud Specialist

We’re looking for a detail-oriented Fraud Specialist to help ensure the integrity of our platform. In this role, you’ll review and analyze call recordings to identify fraudulent activity—such as fake or manipulated conversations—and safeguard the accuracy and trustworthiness of the data we provide.

This is an excellent opportunity for someone with strong attention to detail, good listening skills, and the ability to spot patterns or inconsistencies. If you’re proactive, reliable, and committed to upholding high standards, this role is for you.

🎁 Perks & Benefits

• 💵 Paid in USD (bi-monthly payouts: 15th & 30th)
• 🏖️ Up to 14 days of Paid Time Off annually (starting Day 1)
• 📅 Observance of Holidays (based on your location)
• 🏡 100% remote – work from anywhere
• 🔒 Contribute directly to protecting user trust and data integrity
• 🚀 Be part of a fast-growing company innovating at the intersection of AI and consumer tech

🧩 What You’ll Be Doing

🔍 Fraud Detection & Analysis

• Listen to call recordings to determine whether they are genuine conversations or fraudulent submissions.
• Flag suspicious recordings (e.g., silence, background noise only, or replayed recordings).
• Document findings clearly and accurately for internal tracking.

📊 Quality Assurance & Reporting

• Maintain high accuracy standards while reviewing large volumes of calls.
• Identify emerging patterns of fraud and suggest preventative measures.
• Collaborate with internal teams to improve fraud detection systems and processes.

🤝 Collaboration & Continuous Improvement

• Provide feedback on tools, workflows, and processes to enhance efficiency.
• Work closely with product and operations teams to escalate high-priority issues.
• Stay up to date on fraud trends and contribute to refining fraud prevention strategies.

✅ Who You Are

• 2–3+ years of experience in fraud detection, quality assurance, trust & safety, or a related role (preferred, but not required).
• Strong attention to detail and ability to focus on repetitive tasks with accuracy.
• Excellent listening skills and ability to distinguish real from manipulated conversations.
• Clear and concise written communication skills for documentation and reporting.
• Reliable, organized, and able to manage time effectively in a remote setting.

Bonus Points

• Prior experience in fraud analysis, trust & safety, or call center QA.
• Familiarity with AI, data labeling, or annotation workflows.
• Strong problem-solving mindset with the ability to identify patterns and anomalies.

📩 How to Apply

Please submit:

✅ Your updated resume

✅ A short Loom video (1–2 mins) introducing yourself and sharing why accuracy and attention to detail are your strengths

✅ A brief write-up of any past experience with fraud detection, quality control, or similar work

Only candidates who submit a Loom video will be moved to the next step of the hiring process.

🧠 If you’re meticulous, observant, and motivated to protect user trust—we’d love to hear from you.

📋 Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

Initial Application - Submit your application and complete our prequalifying questions

Video Introduction - Record an video introduction to showcase your communication skills and work experience

Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)

Recruitment Interview - Initial screening with our talent team

Executive Interview - Meet with senior leadership to discuss role alignment

Client Interview - Final interview with the client team you'd be supporting

Job Offer - Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.