Join a global financial services organisation whose core purpose is to seek out and invest in exceptional individuals who understand and support their core purpose, and whose values align and pride themselves with attracting intellectual leaders who are the best in their respective field you will be accountable for designing, producing, analysing, documenting and enhancing a range of predictive models across the entire credit life cycle.
Responsibilities:
- Understand and interpret business requirements and translate them into analytical reporting solutions.
- 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.
- Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming, R Code, SQL, Statistical Data Analysis
Qualifications and Experience:
- Bachelor''s degree in IT or Quantitative fields or related fields
- Postgraduate degree in quantitative or related fields (simply an advantageous)
- 5 to 8 years commercial data analytics experience
- Data warehouse experience
- ODS experience
- Good experience with data structures
- Structured and non-structured data experience
- SQL
- AWS (some cloud experience but not essential)
- Data modelling experience
- Data visualisation experience
- Data mapping
The Reference Number for this position is NG59979 which is a Permanent Hybrid position in Johannesburg offering a salary of R1mil up to R1.3mil CTC salary negotiable based on experience. E-mail Nokuthula
