PpBuilding the bank of tomorrow takes more than skills.br/It means combining our differences to imagine, discuss, code, develop, test, learn… and celebrate every step together. Share our vibes? Join Swissquote to unleash your potential. /ppWe are the Swiss Leader in Online Banking and we provide trading, investing and banking services to+500’000 clients, through our performant and secured digital platforms. /ppOur +1000 employees work in a flexible way, without dress code and in multicultural teams.br/By having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-pace environment. /ppWe are all in at Swissquote. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success. /ppAre you all in? Don’t be shy, apply! /ph3Job Description /h3pWe are looking for a highly motivated Financial Crime Analytics Officer to join our Anti-Fraud FinCrime Center team. In this role, you will be responsible for developing, enhancing, and monitoring data-driven solutions to detect and prevent fraudulent activities and financial crime. /ppYou will work closely with cross-functional teams including Compliance, Customer Care, and Software Engineering to design scalable models and actionable insights that protect our customers and the business. /ppThis role is part of the First Line of Defense, playing a critical role in proactively identifying, preventing, and mitigating fraud and financial crime risks. /pulliDevelop, implement, and optimize data-driven models for fraud detection and prevention (e.g., ATO, APP fraud, money mule accounts, real time and near real time transaction monitoring). /liliAnalyze large datasets to identify suspicious patterns, anomalies, and emerging fraud typologies. /liliCollaborate with stakeholders to translate business needs into analytical solutions. /liliBuild and maintain dashboards, reports, and KPIs to monitor fraud trends and model performance. /liliContinuously improve detection strategies, balancing fraud risk and false positives. /liliSupport investigations by providing data insights and analytical support. /liliCommunicate findings and recommendations clearly to both technical and non-technical stakeholders. /liliDocument and maintain up-to-date documentation of processes, methodologies, and solutions, ensuring that projects and workflows are clearly understood by colleagues and meet internal and external audit requirements. /liliStay up to date with new fraud schemes, regulatory expectations, and industry best practices. /li /ulh3Qualifications /h3ulliMinimum 2 years of experience in fraud prevention and/or AML within a bank, fintech, or payment services company. /liliStrong educational background, BS/MS in Computer Science, Mathematics, Statistics, Engineering, or a related field. /liliProficiency in SQL and at least one programming language such as Python and/or R. /liliExperience working with large datasets and building analytical or predictive models. /liliKnowledge of financial crime typologies (e.g., phishing, account takeover, money mule account). /liliExcellent communication skills, with the ability to explain complex concepts to non-technical audiences. /liliTeam-oriented with strong collaboration skills. /liliStrong problem-solving mindset with the ability to work independently and proactively. /li /ulh3Nice to Have /h3ulliExperience with machine learning techniques applied to fraud detection. /liliFamiliarity with real-time transaction monitoring systems. /liliUnderstanding of web traffic and RESTful APIs. /liliKnowledge of AML/CTF and Fraud regulations. /liliExperience with data visualization tools (e.g., Tableau, Power BI). /li /ulh3Language Requirements /h3ulliFrench and/or German (nice to have) /li /ulh3Additional Information /h3pSQ2 /p /p #J-18808-Ljbffr