Senior Product Analyst (Hybrid or Remote)

About The Role 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. 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 user behaviour patterns to distinguish legitimate activity from fraudulent or suspicious actions. Design, implement and refine detection rules across the Fraud, AML and Sanctions domains. 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 to enhance 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 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. 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 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. Would be a plus Applied probability theory and mathematical statistics knowledge – A/B tests, causal inference, etc. Proficiency in using Python for data analytics (ex NumPy, Pandas). Experience in risk, compliance, or anti-fraud fields. Why Join Vivid? 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. Fully paid vacation and sick leave. Sports compensation. Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one. Enhance your expertise and shape the future of FinTech. Join Vivid's talented team and help us revolutionize how people think about their money! Compensation range Final compensation is determined individually, based on your experience, skills and the scope of the role, assessed against objective, gender-neutral criteria. About Vivid At Vivid, we're on a mission to change how businesses and individuals manage their money across Europe. For businesses, we build tools that actually make a difference: multi-IBAN accounts, high-yield savings, business cashback, team cards, and accounting integrations that save real time — all in one place. And for individuals, we offer a simple way to manage and grow your wealth: access to global stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights. Our mission? Your success. Everyone deserves the chance to see their finances flourish, and we're dedicated to empowering our customers to make this a reality. Founded in 2019 in Berlin by Alexander Emeshev and Artem Iamanov, Vivid has quickly grown into one of Germany's top financial platforms for SMEs and private accounts. Since then, we've expanded rapidly across Europe, earning the trust of over 500,000 customers — and with over €200 million raised and a valuation of €775 million, we're just getting started. 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 execution. For us, this means our teams can focus on architecture, strategy, and high-impact decision-making. This changes how we work: less manual execution, more ownership in building systems that scale. We want to help define what AI-native looks like in a regulated financial environment — and we're looking for people who want to build that future with us.