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Jobs or company...

Manager Data Analytics (Credit Risk)

Salary undisclosed

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JOB DESCRIPTION:

THE ROLE

You will be responsible for utilising data sources to create proposition solutions for banks and non-banks on retail and SME loan portfolios. The role requires strong data handling capabilities, as well as advanced knowledge of SAS, Python, and R. Additionally, the ideal candidate will have a background in banking and credit risk management.

Responsibilities:

  • Utilise credit bureau data and other relevant data sources to create proposition solutions for banks and non-banks on retail and SME loan portfolios.
  • Handle and manipulate large data sets using SAS, Python, and R
  • Support the development and implementation of advanced analytics models for risk management and credit scoring using SAS or similar tools.
  • Collaborate with cross-functional teams to deliver data-driven actionable insights and recommendations.
  • Continuously monitor and improve data quality to ensure accuracy and completeness.
  • Use statistical and data visualisation techniques to present data in a clear and compelling way.
  • Stay up to date with the latest developments in the banking and credit risk management industry.

Qualifications:

  • The candidate should have experience in handling and manipulating large data sets.
  • Candidates are expected to have a background in banking and credit risk, specifically in retail and SME banking.
  • The role requires a good understanding of statistical and data visualisation techniques, with the ability to communicate complex data concepts to non-technical stakeholders.
  • Bachelor's or master’s degree in a related field (e.g., statistics, mathematics, computer science, etc.)
  • Minimum of 4 years of experience in analytics, with a focus on credit risk management and/or banking
  • Knowledge of data and modelling tools such as SAS, Python, and R
  • Strong experience working with large data sets and databases, advanced data handling skills and proficiency in data manipulation
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