Vivid · Limassol, Almaty, remote · гибрид
Product Analyst — Anti-Financial Crime (AFC) 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
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).
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.
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Apply: https://vivid.jobs.personio.de/job/2686091?language=en&apply
#vacancy #вакансия #Cyprus #Limassol #remote #ProductAnalyst #analyst #fintech #SQL #Python #dataanalytics #аналитик #продуктовыйаналитик #Кипр #Лимассол #удаленка #вакансияКипр 📊 Product Analyst — Anti-Financial Crime (AFC) 📍 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 🚀 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). 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. 🎯 Your mission • 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 📋 Your profile • 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 🎁 Why join • Learning & development budget • Fully paid vacation and sick leave • Sports compensation • Real growth prospects and immediate impact from day one 👉 Apply: https://vivid.jobs.personio.de/job/2686091?language=en&apply