Senior Data Scientist Scorecard Development
2 weeks ago
Accountable for designing, producing, analysing, documenting, and enhancing a range of predictive models across the entire credit life cycle.
**Key performance Areas**:
- 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
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