Quantitative Developer, Trading And Client Controls (tacc)
Deutsche Bank
London, United Kingdom
Hybrid
Python/anaconda suite (scikit-learn, pandas, numpy)
Data integration, etl/elt processes
Model development in a business setting
The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models
Job Summary
The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models.
You will be responsible for driving the development of our core models and controls to help identify fraud.
We are committed to providing an environment with your development and wellbeing at its centre.
Matching Summary
The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models.
Skills & Requirements
Must-have
Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
Data integration, ETL/ELT processes
Model development in a business setting
Drive model implementation from prototype to production
Develop and evolve platform reporting statistics
Nice-to-have
Collaborate and partner with various teams
Explain complex concepts effectively
Support a wide ranging CSR programme
Empowered to excel together every day
Key Requirements
Bachelor’s degree or equivalent qualification/relevant work experience