Antifraud Analyst

Hi! We’re Mercuryo, and we’re on a mission to redefine finance by blending the best of traditional banking with the innovations of decentralized finance (DeFi). We believe that everyone should have easy access to Web3 and traditional financial services — and we’re making that happen by building a robust platform that simplifies dealing with crypto and seamlessly integrates it into the broader financial ecosystem.

Since we launched in 2018, we’ve teamed up with Web3 top projects such as MetaMask, Trust Wallet, Ledger, Jupiter, 1inch, and PancakeSwap and 200+ others to power over 200 dynamic products. Our work also brings us into direct collaboration with major ecosystems such as Solana Labs, Consensys, and BNB Chain. We’re just getting started, and we want you to help us shape the future of money!

Why Mercuryo?

• Industry Impact – Join us in helping world-class Web3 projects onboard millions of new users into the next generation of finance.
• Innovative Environment – Collaborate with more than 300 talented professionals from diverse backgrounds — including banking, SaaS, and Web3 — all united in delivering outstanding user experiences.
• Growth and Learning – Our expanding network of 200+ B2B partnerships and a user base of over 7 million means there’s always room to grow your skills, tackle new challenges, and push boundaries.
• Flexible Culture – We’re remote-first, celebrating diversity across 30 countries. At Mercuryo, you’ll be empowered to take ownership of your work, spark creativity, and shape how we move forward together.

About The Role

We are looking for an Antifraud Analyst to strengthen our fraud detection and prevention capabilities across payment flows. This role focuses on data-driven fraud analysis, rule optimization, and continuous improvement of antifraud systems, working closely with the Fraud team, Product, Compliance, and KYB&KYC teams.

Your Role

• Analyze payment traffic and large-scale transactional data to identify fraud patterns, schemes, anomalies, and emerging risks.
• Perform in-depth investigations of suspicious activity and confirmed fraud cases to understand attack vectors and root causes.
• Continuously monitor fraud performance metrics to detect shifts in fraud behavior and control effectiveness.
• Design, implement, adjust, and monitor rule-based fraud controls, thresholds, and escalation logic.
• Evaluate rule effectiveness, identify false positives and false negatives, and propose data-driven optimizations.
• Review, propose, and implement changes to risk controls in coordination with the Fraud team.
• Participate in the operation, development, and modernization of the internal anti-fraud system.
• Automate anomaly detection and reduce manual investigation effort through smarter analytics.
• Assist in the development and optimization of fraud detection tools, suggesting improvements based on analytical findings.
• Build and maintain analytical reports and dashboards for internal stakeholders and, where needed, external partners.
• Translate complex data into clear, actionable insights that support fraud prevention and business decision-making.
• Own fraud-related performance metrics and drive measurable improvements in fraud prevention efficiency.
• Stay up to date with fraud trends, techniques, and industry developments.
• Contribute to the drafting and refinement of fraud-related policies, procedures, and risk documentation.
• Partner with teams across Compliance, Product, Risk, and Transaction monitoring to align mitigation strategies, process changes, and regulatory requirements.

What We’re Looking For

• 5+ years of experience working with transactional fraud in fintech, payments, or e-commerce.
• Strong understanding of fraud typologies, detection strategies, and risk control frameworks.
• Familiarity with fraud monitoring programs and risk requirements from payment networks.
• Proven ability to own performance metrics and drive measurable fraud reduction or efficiency improvements.
• Highly analytical, with the ability to identify suspicious patterns, anomalies, and trends in complex datasets.
• Proficient in SQL and experienced in working with large volumes of transactional data.
• Experience analyzing data and presenting results via dashboards and reports.
• Ability to translate analytical findings into practical actions and control improvements.
• Able to work independently, taking ownership where your expertise is needed.
• Strong collaborator, comfortable working across teams, functions, and cultures.
• Clear communicator, capable of explaining complex analytical topics to non-technical stakeholders.
• Curious and proactive, with a willingness to continuously learn and adapt to evolving fraud threats.

Nice To Have

• Exposure to machine learning–based fraud detection or hybrid rules + ML approaches.
• Experience using Python/R for data analysis in an analytical or anti-fraud context.
• Basic knowledge of probability theory and mathematical statistics as applied to anomaly detection and risk modeling.

What We Offer

• Competitive market rate salary and performance-based incentives.
• 22 days annual leave with an additional 6 company days, plus bank holidays.
• Comprehensive health insurance plans.
• Extensive benefits program.
• Flexible work schedule and remote work options.
• Modern offices and co-working spaces across 6 countries.
• Working equipment.
• Professional development and training opportunities.
• Opportunity to shape the initiatives you’re working on. We are open-minded to new ideas.
• Diverse and friendly team.

Join Us

If you’re driven to be a part of the Web3 forefront and are keen to leave your mark on this rapidly evolving field, Mercuryo is an excellent choice. Discover our open positions and see how you can contribute to shaping the future!

Mercuryo is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing employees with a work environment that is progressive and open-minded. Our employment philosophy is to hire the best people and empower them to do the best work of their lives. Employment decisions are based on business needs and individual merit, without regard to race, colour, religion, ethnicity, sexual orientation, nationality, marital status, gender, age, disability, veteran status, or any other characteristic protected by law. Mercuryo is also committed to providing reasonable accommodation during the application process for qualified individuals with disabilities. If you require assistance to complete your application, please contact our Talent Team.