Senior Data Scientist Scorecard Development

• Accountable for designing, producing, analysing, documenting, and enhancing a range of predictive models across the entire credit life cycle.

Key performance Areas:

• Play a leading role in the development and application of predictive models across the entire credit life cycle.
• Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques.
• Monitor and report on the effectiveness of scorecard strategies.

Minimum Requirements:

• A Bachelor’s Degree with Stats/Math/ Applied Maths/ Financial Risk Management/ Data Science/ Engineering/ Computer Science or related disciplines.
• An Honours / Master’s degree would be advantageous.
• SQL proficiency.
• One of SAS, R or Python proficiency.
• Exposure to extracting data from databases is compulsory.
• Understanding and knowledge of predictive modelling practices, performance standards and methodologies.
• Minimum 5 years’ experience in developing scorecards.
• Minimum 2 years' experience in the Credit Risk environment.

Required Skills:

• Active Learner
• Change Agility
• Credit Risk Analysis
• Data Science
• Machine Learning
• Predictive Modelling
• Problem Solving and Analytical
• Python Programming
• R Code
• SQL
• Statistical Data Analysis