Senior Product Analyst
Vivid Money Group is a European fintech providing personal and business financial services through digital accounts. Its offerings include payments, cards, cashback, interest accounts, international transfers, bookkeeping tools, and investment services for individuals, freelancers, companies, and enterprises.
Maintainer signals as of 8/23/2026
About Vivid Money Group
Vivid Money Group operates a digital financial platform serving individuals, freelancers, SMEs, and larger businesses across Europe. Its services include business and personal accounts, unlimited IBANs, Visa cards, cashback, SEPA and SWIFT transfers, international payments, online payment acceptance, invoicing, bookkeeping integrations, tax filing, business travel, and team spending controls. The group also provides interest accounts, model portfolios, brokerage services, stocks, ETFs, money market funds, and cryptocurrency services through regulated Vivid entities in Luxembourg and the Netherlands.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
As a Product Analyst in the Anti-Financial Crime team, analyze fraud, AML, sanctions, and behavioral data to improve detection logic, investigate emerging threats, evaluate alert quality, collaborate on risk models and automation, use AI tools to accelerate investigations, and prepare reports on risk trends and rule effectiveness.
Requirements
- 4+ years of experience in a product analyst role
- Expert-level SQL skills
- Advanced knowledge of data visualization tools
- Experience using AI tools for analysis and investigation
- Ability to interpret business meaning from data and communicate complex topics clearly
- Upper-intermediate English
- Knowledge of probability theory and mathematical statistics
- Python proficiency for data analytics
- Experience in risk, compliance, or anti-fraud
Responsibilities
- Analyze fraud, AML, and user-behavior data
- Identify gaps in detection logic and opportunities for rule optimization
- Study user-behavior patterns to distinguish legitimate and suspicious activity
- Design, implement, and refine fraud, AML, and sanctions detection rules
- Investigate emerging typologies and unknown attacks
- Propose mitigation strategies
- Improve fraud and disturbance rates while balancing detection accuracy and customer friction
- Perform alert quality assurance and analyze false positives and negatives
- Collaborate on risk models, alerting logic, and automation flows
- Use AI and LLM-based tools to accelerate investigations
- Prepare visualized reports on risk trends and rule effectiveness
Benefits
- Hybrid or fully remote work options
- Relocation support to Cyprus including visa and package
- Learning and development budget
- Fully paid vacation and sick leave
- Sports compensation
- Real growth prospects and significant responsibility
