Data Scientist
Roodepoort, South Africa
Applications have closed
Standard Bank Group
The Standard Bank group is a leading financial services provider that supports Africa’s growth and development.Company Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.
Job Description
To support Pricing Head and COO with the following:
Predicting Modelling: Identify and Assess service providers performance and efficiencies and recommend service providers’ management strategy solution.
Driving efficiencies by developing and Implementing:
Dynamic write-off models,
Fraud Detection models,
Claims fast tracking models,
Salvage and Recoveries models,
Develop and implement monitoring reports for the COO and other operational models
Qualifications
Minimum Qualifications
3-year BSc with Actuarial/Mathematics/Statistics majors
Honours will be an added advantage
Experience Required
Minimum 3-5 years of financial service or analytics experience
At least 3 years of Data Analytics, Machine Learning Models modelling
Advanced Experience in SAS, SQL, Python, R, and Other general coding skills and will be advantages.
Experience of any visualisation platforms such Power BI, Qlik-view and other general platforms will be an advantage
Knowledge of variety of machine learning techniques (Clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Additional Information
Behavioral Competencies:
- Attention to detail
- Analytical thinking abilities
- Communication skills – excellent written, verbal and presentation skills
- Disciplined and have high level of integrity, professionalism, respect and
- Trustworthiness
- Self-motivated and positive attitude
- Team player
- Business Acumen
Technical Competencies:
- Understanding of short-insurance business principles.
- Data mining skills, data visualisation and interpretation
- Experience in machine learning algorithms
- Experience in pricing will be an advantage
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Clustering Data Analytics Data Mining Machine Learning Mathematics ML models Power BI Python Qlik R SAS SQL Statistics
Perks/benefits: Career development Startup environment
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