Product Analyst — Anti-Financial Crime (AFC)

Навыки

• LLM
• NumPy
• Мониторинг и observability
• Pandas
• Python
• SQL
• Статистика

О компании и продукте

• 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). 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

Задачи

• 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
• Hybrid in Limassol or Almaty, or fully remote outside office locations
• Relocation to Cyprus supported (visa + package) when needed
• €65,000–€75,000 gross annually

Требования

• 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

Будет плюсом

• 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
• Why join
• Learning & development budget
• Fully paid vacation and sick leave
• Sports compensation
• Real growth prospects and immediate impact from day one

Условия

• 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

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