Data Scientist, Full-Time (f/m/d)

Tasks

• Lead and support data analysis and business intelligence initiatives to support anti-money laundering (AML), customer networks, fraud, or sanctions in the area of financial risk (e.g., anti-money laundering (AML), customer networks, fraud, or sanctions)
• Collaborate with internal IT departments and external vendors to conduct in-depth analyses and develop best-practice data solutions by leveraging the latest technologies and the in-house compliance analytics platform infrastructure
• Design, development, monitoring, and documentation of predictive models in accordance with industry standards and a solid theoretical foundation
• Close collaboration with senior stakeholders to design quantitative solutions using statistical and computational principles to optimize various banking processes
• Evaluation and management of change requests submitted by the business unit
• Preparation of Ad Hoc Reports
• Ensuring regular and ad hoc analyses and reports

Requirements

• Master's or bachelor's degree from a university of applied sciences in STEM fields such as data science, computer science, mathematics, or a closely related field (technology, engineering, mathematics)
• At least 5 years of banking experience with a focus on compliance and risk management
• Demonstrable experience in managing and monitoring data quality, as well as in data management best practices
• Strong communication skills, with the ability to break down complex solutions into compelling stories for the rest of the organization
• As an agile employee, you enjoy working in a fast-paced environment where things evolve quickly
• A passion for using data and statistics to solve complex problems with your expertise
• A curiosity to learn new things and apply unconventional thinking to challenges, as well as proactively suggesting new solutions
• Team-oriented and enjoys collaborating with a diverse group of experts, listening to different perspectives, and sharing a variety of ideas