Senior Product Analyst
Vivid is a European financial-services company offering digital business and personal accounts, cards, transfers, payment acceptance, and investment products. It serves freelancers, small and medium-sized businesses, enterprises, and individual customers.
Projects
About Vivid
Vivid provides an all-in-one digital financial platform for companies, freelancers, and personal users. Its services include business accounts with multiple IBANs and sub-accounts, Visa cards and cashback, SEPA Instant and international payments, invoicing, bookkeeping integrations, payment links, POS terminals, and business travel tools. It also offers investment products such as interest accounts, model portfolios, and business brokerage for money market funds, ETFs, stocks, bonds, and crypto assets. Payment services are provided by Vivid Money S.A. in Luxembourg, while investment and crypto services are provided by Vivid Money B.V. in Amsterdam.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You analyze fraud, AML, sanctions, and user-behavior data to improve detection logic. You design and refine detection rules, 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
