Description:
- 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.
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
12 Aug 2022;
from:
gumtree.co.za