At a Glance
- Tasks: Drive fraud detection models and engage with stakeholders to enhance client controls.
- Company: Deutsche Bank, a leading global bank with a focus on innovation.
- Benefits: Hybrid work options, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to high-quality code and innovative solutions.
- Why this job: Make a real impact in fraud analytics while working with cutting-edge technology.
- Qualifications: Strong data science skills, Python programming, and experience in anomaly detection.
The predicted salary is between 60000 - 80000 £ per year.
Deutsche Bank in London seeks a Quantitative Developer for Trading and Client Controls.
You will drive core models and controls to detect fraud, owning problems, engaging stakeholders, and growing a high-quality code base.
The role requires strong data science skills, data integration expertise, and proficient Python programming, with a focus on anomaly detection and Know Your Customer controls.
Hybrid work options are available.
We think you need these skills to ace Senior Quantitative Developer, Fraud Analytics (Hybrid)
Python
Communication Skills
SQL
Problem-Solving Skills
Data Engineering
Automation
Attention to Detail
