- Bachelors Degree in Computer Science from a Top School, or a Masters Degree in another technical discipline (Physics, Engineering, Maths) with relevant experience
- Advanced Python Programming and knowledge of SAS coding.
- Experience in model implementation using DevOps tools like TeamCity, Jira, BitBucket and Nexus etc
- Project and stakeholder management experience.
- Experience in financial institution delivering data, supporting model development, implementation and productionisation within credit wholesale, consumer, finance or treasury.
Desirable Skills :
- Masters Degree in Computer Science, Math or Statistics
- Knowledge of Big Data platforms such as HADOOP and its eco-system
- Knowledge of credit card and/or banking retail business is strongly preferred
- Good exposure to statistical model development - familiarity with Consumer or Wholesale Credit risk modelling experience.
- Supported or working on stress testing across Risk, Treasury or Finance
- Data science and Machine learning background
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