a range of predictive models across the entire credit life cycle. Responsibilities: Understand and interpret application of predictive models across the entire credit life cycle. Conduct continuous research aimed at scorecard strategies. Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, scorecards. Minimum 2 years' experience in the Credit Risk environment. The Reference Number for this
successful systems in fintech, payments, retail banking, credit, e-commerce or logistics Recent experience in architecture
with specific experience in systems data quality control and maintenance (e.g. Product lists etc). MS Excel
with PostgreSQL database Experience with version control systems (e.g., GitHub) Understanding of Agile methodologies
Node.js, Flutter, Cloud (Azure or AWS), Version control (Git, SVN, TFS), Bitbucket, Docker, AKS or EKS
HTML5, CSS3) is a plus. Experience with version control systems (e.g., Git). Understanding of databases
Familiarity with RESTful APIs and Git version control Ability to turn complex technical challenges into
Familiarity with RESTful APIs and Git version control Ability to turn complex technical challenges into
including the necessary solution space e.g., version control (Git) At least 6 years' worth of experience in
brokers) Testing (TDD/BDD etc.), CI/CD, Version control (GIT) Experience with live-streaming data Reference