Data Scientist (A) Internal Fraud Project
- Zürich
- Unbefristet
- Vollzeit
In this role, you will develop and implement data-driven models and analyses to strengthen fraud detection, compliance, and risk management.WORKLOAD100%WORKPLACEZurich - AltstettenSTART DATE08.09.2025END DATE31.12.2025REFERENCE3474TYPEContractingPlease note that due to applicable Swiss legislation, we can only consider applications from Swiss citizens, EU citizens, and individuals with a valid work permit.Remote work from abroad is not possible.Tasks
- Support data analytics and business intelligence initiatives, with focus on Internal Fraud
- Design, develop, validate, implement and monitor predictive models
- Work closely with senior stakeholders to design quantitative solutions using different analytical principles to optimise various banking processes
- Create and maintain relevant documentation
- Assess and manage change requests raised by the business
- Execute regular and ad-hoc analysis and reports
- Master or Bachelor's degree from a university of applied sciences in STEM fields (science, technology, engineering, mathematics), economics or banking and finance
- Strong Banking experience with focus on Compliance, Risk Management and Legal
- Min. 3 years of experience as a data scientist, preferred in a project environment
- Strong database programming skills (e.g. SQL)
- Proficient in programming (e.g. Python)
- Experience in project management or business analysis
- Excellent English communication skills
- As an agile worker, you enjoy working in a fast-paced environment where things evolve quickly
- Curious to learn new things and apply out-of-the-box thinking to challenge the status quo and proactively propose new solutions
- Team-oriented and enjoy collaborating with diverse experts, listening to different ideas and voicing your own, to deliver the best possible outcome