Cyprus
KazakhstanVivid
Product Analyst — Anti-Financial Crime (AFC)
1 мес. назад
65k–75k EUR / yearCyprusKazakhstanWorldwideSeniorHybridB2
sqldata visualizationai toolspythona/b testingcausal inferencepandasnumpy
Product Analyst role at Vivid focused on anti-financial crime, working with fraud, AML, and behavioural data to stop money laundering, fraud, and sanctions evasion. The company operates in Europe with 500,000+ customers and offers financial tools for businesses and individuals.
About the company
- At Vivid, we're on a mission to change how businesses and individuals manage money across Europe — founded in Berlin in 2019, now 500,000+ customers strong.
- We build tools for businesses (multi-IBAN accounts, high-yield savings, business cashback, team cards, accounting integrations) and for individuals (global stocks, ETFs, 150+ cryptocurrencies, cashback, and personalised insights).
About the product
- As a Product Analyst in the Anti-Financial Crime team, you'll turn fraud, AML and behavioural data into sharp detection logic that stops money laundering, fraud and sanctions evasion before they cause harm.
- In our AI-native environment, automation handles the repetitive work — so your energy goes where it matters: outsmarting new attacks and building defences that stay ahead of every threat.
Responsibilities
- Analyse fraud, AML and user behaviour data to find gaps in detection logic and opportunities for rule optimisation
- Study behaviour patterns to distinguish legitimate activity from fraudulent or suspicious actions
- Design, implement and refine detection rules across Fraud, AML and Sanctions
- Investigate emerging typologies and unknown attacks; propose mitigation strategies
- Continuously improve fraud and disturb rates, balancing detection accuracy against customer friction
- Run controlled experiments and A/B tests to measure impact on fraud rates and alert quality
- Perform QA on alerts, analyse false positives/negatives, and increase precision
- Collaborate with Product, Engineering and Data Science on risk models, alerting logic and automation flows
- Leverage AI and LLM-based tooling to accelerate investigations and scale your analysis
- Prepare clear, visualised reports on risk trends, rule effectiveness and ongoing threats
Requirements
- 4+ years in a product analyst role
- Expert-level SQL — you write complex queries daily and optimise them without thinking twice
- Advanced knowledge of data visualisation tools
- You already work with AI tools, not just experiment with them — they're part of how you analyse, investigate and ship faster
- Ability to see the business meaning behind the data and communicate it clearly, even on complex topics
- Upper-intermediate English
Nice to have
- Applied probability theory and mathematical statistics — A/B tests, causal inference, etc.
- Python for data analytics (NumPy, Pandas)
- Experience in risk, compliance, or anti-fraud
Conditions
- Learning & development budget
- Fully paid vacation and sick leave
- Sports compensation
- Real growth prospects and immediate impact from day one