As a Product Analyst in the Anti-Financial Crime (AFC) 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. Analyse fraud, AML and user behaviour data to find gaps in detection logic and opportunities for rule optimisation.
Run controlled experiments and A/B tests to measure impact on fraud rates and alert quality.
Collaborate with Product, Engineering and Data Science to enhance risk models, alerting logic and automation flows.
Leverage AI and LLM-based tooling to accelerate investigations and scale your analysis.
4+ years of work experience in a product analyst role.
~ Expert-level SQL – you write complex queries daily and can optimise them without thinking twice.
~ Advanced knowledge of data visualisation tools.
~ Ability to see a business meaning behind the data and communicate it in the clearest possible way (even if it's complicated topic).
~ Upper intermediate level of English.

Applied probability theory and mathematical statistics knowledge – A/B tests,



causal inference, etc.
Proficiency in using Python for data analytics (ex NumPy, Pandas).
We have a hybrid model in one of our offices, Limassol, or Almaty, or fully remote outside office locations.
We support relocation to Cyprus (visa, package) when needed.
Learning & development budget to support your professional growth.
Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one.
And for individuals, we offer a simple way to manage and grow your wealth: access to general stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights.
Everyone deserves the chance to see their finances flourish, and we're dedicated to empowering our customers to make this a reality.
We're building Vivid as an AI-native organization — across every function, from product to compliance to operations. Automation handles a growing share of day-to-day exe

📌 Senior Product Analyst (Barcelona)
🏢 Vivid Money
📍 Barcelona