About the Company
Maya Mobile is one of the world's top 5 travel eSIM brands, trusted by 3.5M+ travelers across 190+ countries to stay connected the moment they land. Our app makes it dead simple — pick your destination, tap to install, and you're online. No SIM swaps, no roaming bills, no hassle. Backed by our own mobile network infrastructure, we combine the reliability of a real carrier with the speed and simplicity travelers expect from a best-in-class consumer app. We're growing fast, scaling globally, and building the brand that travelers recommend to every friend before their next trip.
About the Role
We're looking for a sharp, curious, and data-driven Fraud & Risk Analyst to join our team and help protect Maya Mobile's revenue and customer trust. This is a foundational role — you'll be at the center of identifying, investigating, and preventing fraud across our transaction ecosystem, including payment processing, promotional vouchers and coupon codes, eSIM activation abuse, and usage anomalies. You'll work with large datasets, build detection frameworks, leverage AI-powered tools to spot patterns humans can't, and help shape the fraud prevention best practices that will scale with our business. This role is ideal for someone early in their career who is analytically rigorous, naturally skeptical, and excited about using modern tools — including AI and automation — to outsmart bad actors.
Responsibilities
- Fraud Detection & Investigation
- Monitor and investigate suspicious activity across payments, voucher redemptions, promotional code abuse, refund patterns, and eSIM activation/usage anomalies.
- Analyze transaction-level data to identify fraud rings, synthetic identities, account takeover attempts, and policy exploitation.
- Investigate chargebacks and payment disputes, coordinating with payment processors (e.g., Adyen) and internal teams to resolve cases and recover revenue.
- Big Data Analysis & AI-Powered Detection
- Work with large-scale transaction and behavioral datasets to surface fraud signals and emerging attack vectors.
- Use AI and machine learning tools (e.g., anomaly detection models, LLM-assisted pattern recognition, automated alerting) to improve detection speed and accuracy.
- Build and maintain dashboards and reports that track fraud KPIs — loss rates, false positive rates, detection latency, and voucher/coupon abuse metrics.
- Best Practices & Prevention Frameworks
- Help develop and document fraud prevention best practices, standard operating procedures, and escalation workflows.
- Contribute to rule-based and risk-scoring frameworks for transaction approval, voucher issuance, and promotional campaign safeguards.
- Collaborate with Product, Engineering, Payments, and Marketing to embed fraud controls into new features, campaigns, and partner integrations before launch.
- Conduct post-incident reviews and recommend systemic improvements.
- Reporting & Cross-Functional Collaboration
- Prepare clear, concise fraud reports and case summaries for leadership review.
- Partner with the payments and finance teams on chargeback management, BIN attack response, and payment processor risk tooling (e.g., Adyen RevenueProtect).
- Stay current on emerging fraud trends in digital payments, eSIM/telecom, and e-commerce.
Qualifications
- Bachelor's degree in Data Science, Business Analytics, Finance, Information Systems, or a related field (or equivalent practical experience).
Required Skills
- Strong analytical skills with the ability to work comfortably with large datasets.
- Proficiency in SQL and at least one data analysis tool or language (Python, R, Excel/Google Sheets at an advanced level).
- Familiarity with AI/ML concepts and enthusiasm for using AI-powered tools (ChatGPT, Claude, custom models) to enhance fraud analysis workflows.
- Excellent attention to detail and a healthy sense of skepticism — you notice when numbers don't add up.
- Strong written and verbal communication skills; ability to document findings and present them clearly.
Preferred Skills
- Prior internship or project experience in fraud, risk, payments, or compliance.
- Exposure to payment processing platforms (Adyen, Stripe, Braintree) or chargeback management tools.
- Experience with data visualization tools (Looker, Tableau, Power BI, or similar).
- Familiarity with telecom, eSIM, or travel-tech industries.
- Understanding of common fraud typologies: promo abuse, coupon stacking, card testing, friendly fraud, account farming.
- Experience building or working with rule engines, risk-scoring systems, or anomaly detection pipelines.
Pay range and compensation package
- Competitive salary and benefits package.
- Fully remote role — work from India or the Philippines.
- The opportunity to build fraud and risk infrastructure from the ground up at a high-growth company.
- Direct exposure to senior leadership and cross-functional decision-making.
- A fast-paced, low-bureaucracy culture where your work has immediate, measurable impact.
- Access to cutting-edge AI and data tools to do your best work.
Equal Opportunity Statement
Maya Mobile is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.
