RM Group AG
Data Scientist – Oracle SQL – 40%
vacancy for our Zürich based client in the Banking sector
Your tasks:
- Support and provide knowledge in the development and roll-out of a global model on market abuse
- Develop and operationalise time series outlier detection systems designed for monitoring abnormal market behaviour
- Engage confidently with stakeholders across functions, translating complex technical findings into actionable insights
- Full lifecycle ownership of analytical models including gathering business requirements and feature engineering
- Write optimised SQL queries over large-scale datasets, particularly in Oracle
Your experience/knowledge:
- Minimum of 7 years of professional experience in quantitative roles applying advanced data science and statistical modelling
- Master’s degree or PhD in Quantitative Finance, Mathematics, Physics, Engineering, or a closely related field
- Master-level command of Python for data science, with deep hands-on experience in libraries like pandas, NumPy, and scikit-learn
- Advanced theoretical and applied knowledge of time series econometrics and anomaly detection methodologies
- Language skills: English
- Your soft skills:
- Exceptional analytical rigor and problem-solving skills
- Outstanding communication skills
- Ability to work collaboratively in a team-oriented environment
Ref.Nr.:
- Take the next step and send us your resume along with a daytime phone number where we can reach you
- Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens, and current work-permit holders for Switzerland
- We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application
- As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client