At a Glance
- Tasks: Drive fraud detection model development and enhance analytics capabilities.
- Company: Join Deutsche Bank's innovative Group Strategic Analytics team.
- Benefits: Competitive salary, professional growth, and a dynamic work environment.
- Other info: Exciting opportunity for career advancement in a leading financial institution.
- Why this job: Make a real impact in fraud detection using cutting-edge data science.
- Qualifications: Strong programming skills in Python/Anaconda and knowledge of ETL processes.
The predicted salary is between 60000 - 80000 £ per year.
Deutsche Bank seeks an individual for a pivotal role in Group Strategic Analytics. The successful candidate will drive core model development targeting fraud detection while integrating new data sources and enhancing analytics capabilities.
Responsibilities include:
- Stakeholder management
- Guiding technical adaptations
- Maintaining a high-quality coding practice
Candidates should possess excellent programming skills in Python/Anaconda, alongside a solid grasp of ETL processes and data quality assurance. A bachelor’s degree or relevant experience in data science is essential.
Quantitative Developer: Fraud Detection & Production Models in London employer: Deutsche Bank
Deutsche Bank is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration. With a commitment to employee growth, we offer extensive training and development opportunities, particularly in the fast-evolving field of data science and analytics. Located in a vibrant city, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to combat fraud through cutting-edge technology.
