Data Science - Financial Crime Analytics Area

Job description

About the Role At Novobanco, we are committed to protecting our customers and the integrity of the financial system through innovative, data-driven solutions. As part of our Onboarding & Economic Crime Prevention team, you will support critical activities across Customer Lifecycle Management. This is an exciting opportunity to combine data science, analytics, and financial crime expertise to drive better decision-making, improve controls, and shape the future of our data and analytics capabilities. Data Scientist Local: Porto Salvo - TagusPark What You Will Be Doing Identify, capture, and analyse data to support business decisions and financial crime risk management. Lead data-driven initiatives across onboarding, KYC, and economic crime domains. Develop insights, reporting, and analytical solutions to enhance operational and compliance effectiveness, and customer outcomes. Partner with stakeholders to translate business challenges into analytical opportunities. Own and continuously enhance the department’s financial crime analytical module, including rules, scenario analysis, and detection models. What You Will Need Must haves: Experience 2-5 years in data science, analytics, or data-driven risk management roles. Strong analytical skills with experience working with large and complex datasets. Proficiency in programming languages such as Python or R. Proficiency in SQL Understanding descriptive analysis, correlations, hypothesis testing, and segmentation. Ability to communicate insights effectively to both technical and non-technical audiences. Good to have: Experience with Microsoft Fabric. Experience in financial crime, fraud, AML, KYC, or banking environments is highly desirable. A proactive mindset with the ability to lead initiatives and drive outcomes independently. What We Offer The opportunity to shape and influence a growing capability within the bank. Competitive salary and benefits package. Exposure to a broad range of financial crime and customer lifecycle challenges. A collaborative and supportive working environment.