About the role
Vell is a fast-growing fintech company building digital payment and mobile app solutions to make cross-border and everyday financial services simpler, faster and more accessible. Built on strong compliance foundations and scalable technology, Vell is designed for global expansion. Our long-term vision is to evolve beyond remittance into broader financial ecosystem that supports modern, borderless commerce. We are building a company that values ownership, clarity, and high standards. Join us in reshaping the future of financial services.
The Risk & Fraud Data Analyst will play a key role in protecting the platform from financial crime and operational risk. This role focuses on analysing transaction data, detecting suspicious patterns, and developing data-driven insights that strengthen Vell's fraud prevention and transaction monitoring systems.
Key Responsibilities:
- Analyse transaction patterns to identify potential fraud and suspicious behaviour
- Develop and monitor fraud indicators across payments, accounts, and user behaviour
- Investigate anomalies and provide insights into emerging fraud trends
- Support transaction monitoring processes by analysing high-risk transactions and behavioural patterns
- Assist in developing data-driven rules for fraud detection and risk scoring
- Build fraud detection models and risk scoring indicators using transaction and behavioural data
- Work with engineering teams to improve real-time fraud detection systems
- Translate analytical findings into actionable recommendations
- Collaborate with other teams to support financial crime prevention efforts and improve security controls in the platform
Requirements
- 2-5 years experience in data analysis, fraud analytics, or risk analytics
- Strong analytical skills and experience with SQL
- Experience analysing large datasets and transaction data
- Ability to identify behavioural patterns and anomalies
- Experience using data visualisation or BI tools (Power BI, Tableau, Looker)
Skills & technologies