An African financial services organisation that offers a broad spectrum of financial solutions and offers great culture, leadership, learning opportunities, challenges, rewards and recognition to its employees seeks a Senior Data Scientist who 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:
- Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines.
- An Honours / Masters would be advantageous.
- Minimum 5 years’ experience
- SQL proficiency
- Machine Learning
- One of SAS, R or Python proficiency.
- Exposure to extracting data from databases is compulsory.
- Understanding & knowledge of predictive modelling practices, performance standards & methodologies.
The Reference Number for this position is NG59603 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 on nokuthulag@e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.
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