Description

Building the bank of tomorrow takes more than means combiniFinancial Crime X the bank of tomorrow takes more than means combining our differences to imagine, discuss, code, develop, test, learn… and every step together. Share our vibes? Join Swissquote to unleash your are the Swiss Leader in Online Banking and we provide trading, investing and banking services to clients, through our performant and secured digital employees work in a flexible way, without dress code and in multicultural having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-pace are all As an equal opportunity employer, we welcome X backgrounds, experiences and perspectives to join our team X to our shared you all in? Don t be shy, apply!Financial Crime X are looking for a highly Financial Crime X join our Anti-Fraud & FinCrime X . In this role, you will be responsible for developing, enhancing, and monitoring solutions to detect and prevent fraudulent activities and financial will work closely with cross-functional teams X , Customer Care, and Software Engineering to design scalable models and actionable insights protect our customers and the role is part of the First Line of Defense, playing a critical role in proactively identifying, preventing, and fraud and financial crime risks.Develop, implement, and optimize models for fraud detection and prevention ( , APP fraud, money mule accounts, real time X real time X ).Analyze large to identify suspicious anomalies, and emerging fraud with stakeholders to business needs into analytical and maintain dashboards, reports, and KPIs to monitor fraud trends and model performance.Continuously improve detection balancing fraud risk and false positives.Support by providing insights and analytical findings and clearly to both technical and non-technical stakeholders.Document and maintain of processes, methodologies, and solutions, ensuring projects and workflows are clearly understood by colleagues and meet internal and external audit up to with new fraud schemes, and industry best 2 years of experience in fraud prevention and/or AML X bank, fintech, or payment services background, BS/MS X Science, Engineering, or a field.Proficiency in SQL one programming language such as Python and/or R.Experience working with large and building analytical or predictive models.Knowledge of financial crime typologies ( , phishing, account takeover, money mule account).Excellent skills, with the ability to explain complex concepts to non-technical with strong problem-solving mindset with the ability to work independently and to HaveExperience with machine learning techniques applied to fraud detection.Familiarity with real-time X systems.Understanding of web traffic and RESTful APIs.Knowledge of AML/CTF and Fraud with tools ( , Tableau, Power BI).Language RequirementsFluent English and/or German (nice to have)SQ2 jid2609bcaaen jit0415aen jpiy26aen