Senior Fraud Analyst

Wallex is a FinTech company providing a secure cryptocurrency exchange platform and digital asset payment solutions.
With a vision to become a leading global FinTech enterprise, Wallex is recognized as one of the largest cryptocurrency exchange platforms in Iran, enabling the online trading of more than 130 cryptocurrencies.

About the Role
Wallex is looking for a Senior Fraud Analyst to be the platform's primary line of defense against fraudulent transactions and behavior. This role blends three skill sets: spotting patterns in data, risk analysis, and understanding how every security rule affects real user experience. Decisions made in this role directly impact the security of user assets and trust in the platform.

Responsibilities

• Monitor transactions and user behavior in real time to identify suspicious and fraudulent patterns
• Design, tune, and continuously improve fraud detection rules and risk-scoring models
• Investigate suspicious cases and decide on blocking, escalation, or approval of transactions
• Reduce false positive rates through data analysis, minimizing unnecessary friction for legitimate users
• Work closely with Product and UX teams to design authentication and risk-control flows that are both secure and smooth
• Mine large datasets to uncover emerging fraud patterns before they become serious threats
• Produce periodic reports on fraud trends, emerging risks, and recommended preventive actions for leadership
• Collaborate with Legal/Compliance on regulatory reporting requirements
• Define and track key risk indicators (KRIs) and maintain monitoring dashboards

Requirements

• Minimum 3 years of experience in fraud or risk analysis, ideally in fintech, payments, or crypto
• Hands-on proficiency in SQL and at least one BI tool (Metabase, Power BI, or similar)
• Proven experience modeling and analyzing fraud patterns
• Solid understanding of UX principles and ability to assess how risk decisions affect the user journey
• Ability to analyze complex cases and make fast, accurate decisions under pressure
• High attention to detail, strong analytical thinking, and comfort working with large volumes of data

Nice to Have

• Familiarity with blockchain and the unique characteristics of crypto transactions (irreversibility, wallet addresses, etc.)
• Experience with specialized fraud/AML tools such as Chainalysis or SEON
• Basic knowledge of machine learning for anomaly detection