About Vivid

At Vivid, we're reimagining how individuals and businesses manage money. Our all-in-one app opens up a world of financial possibilities: invest in global stocks, ETFs, and over 150 cryptocurrencies, earn cashback on everyday purchases, and access personalised insights to make the most of your finances—all tailored to your lifestyle.

For businesses, Vivid Business offers a powerful suite of tools, including multi-IBAN accounts, high-interest rates, business cashback, team cards, and seamless accounting integrations to streamline operations.

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.

Since our 2020 launch in Germany, Vivid has rapidly expanded across Europe, earning the trust of over 500,000 customers looking for a simpler, smarter way to grow their wealth. With over €200 million raised from top investors and a valuation of €775 million, Vivid is where modern finance meets real opportunity. Join us and experience a new way to thrive financially.

Your Profile

2+ years of hands-on experience in Fraud, AML, or Financial Crime investigations within fintech, payments, or banking.
Proven experience designing, tuning, and deploying Anti-Fraud or AML Transaction Monitoring rules.
Strong analytical mindset with the ability to generate, test, and validate hypotheses based on behavioural and transactional data.
Intermediate SQL skills and the ability to independently extract and analyse data.
Solid understanding of fraud patterns, AML typologies, and risk indicators.
Strong communication skills, with the ability to present findings clearly and visually to technical and non-technical stakeholders.
Fluent in English (written and spoken).

Why Join Vivid?

We have a hybrid model in our Limassol office, or fully remote outside office locations.
We support relocation to Cyprus (visa, package) when needed.
Competitive salary and benefits package (depending on location).
Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one.
Participation in our Stock Options Program allows you to share in the company’s success.

Enhance your expertise and shape the future of FinTech. Join Vivid's talented team and help us revolutionize how businesses think about their finances!

About The Role

We are seeking an attentive and proactive Fraud Analyst to drive the continuous improvement of our financial crime detection and prevention capabilities.
Your primary responsibility will be to keep the lowest Fraud rate and Distrurb rate by improving the rule model accuracy. Analyze and evolve complex data structures to identify weaknesses in current detection logic, and design rule-based and data-driven enhancements to increase precision, reduce false positives, and protect our customers.

You will work across Fraud, AML, Compliance, Product, Engineering, and Investigations to optimize detection rules, investigate new attack patterns, and support the evolution of our automated defense systems.

Join our team and help us buildan industry-leading financial crime setup.

Your Mission

Conduct deep analysis of fraud, AML, and behavioural data to identify gaps in detection logic and opportunities for rule optimization.
Design, implement, and refine detection rules across Fraud, AML, Sanctions domains.
Investigate new fraud and AML patterns, emerging typologies, and unknown attacks; prepare structured summaries and propose mitigation strategies.
Collaborate with Product, Engineering, and Data Science to enhance risk models, rules, alerting logic, and automation flows.
Run controlled experiments to validate hypotheses and measure impact on fraud rates, AML alert quality, and disturb rates.
Perform quality assurance (QA) on alerts, analyse false positives/negatives, and propose improvements to increase precision.
Prepare clear, visualised reports on risk trends, experiment performance, rule effectiveness, and ongoing threats.
Support continuous updates of investigation procedures and contribute to training operational teams on new logic and best practices.
Work with internal systems to monitor performance of existing rules, evaluate proposed changes, and ensure stability of production environments.

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