You will be responsible for driving the development of our core models and controls to help identify fraud
Job Summary
You will be responsible for driving the development of our core models and controls to help identify fraud.
As part of this, you will take ownership of a problem set, manage stakeholders, and drive growth of a high-quality code base.
The Trading and Client Controls (TaCC) team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models.
Matching Summary
You will be responsible for driving the development of our core models and controls to help identify fraud.
Skills & Requirements
Must-have
Model development
Anomaly detection models
Python/Anaconda suite
Scikit-learn, Pandas, Numpy
Financial markets understanding
Nice-to-have
Stakeholder management
Cross-business approach
High-quality code base growth
Key Requirements
Bachelor’s degree or equivalent
Previous data science experience
Experience in model development
Understanding of KYC, anomaly detection/Machine Learning