Standard Bank Group
FinTech
Scientist,Data
Neural analysis suggests this role is
optimal for mid candidates.
“Scientist, Data at Standard Bank Group. Skills: Data science, Machine learning, Data analysis. Apply data mining techniques. Conduct statistical analysis”
What You'll Achieve.
Create growth in Africa; Create value for clients; Create value for communities
Industry & Context.
Challenging Ideas; Checking Things; Examining Information
What They're Looking For.
Must Have
First Degree in Information Studies, First Degree in Information Technology, 3-4 years Data Monetisation experience, 3-4 years Data & Analytics experience, Experience with unstructured data, Understanding of data flows, Understanding of data architecture, Understanding of ETL, Understanding of data processing, Experience using data mining, Implement algorithms for data handling, Implement algorithms for data processing, 3-4 years software development experience, Understanding of financial services data processes, Understanding of financial services systems, Understanding of financial services products, Experience in technical business intelligence, Knowledge of IT infrastructure, Knowledge of data principles, Project management experience, Experience in building models
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Apply data mining techniques
Conduct statistical analysis
Model business problems
Discover opportunities
Turn data into information
Make business decisions
How You'll Work.
Team & Collaboration
Working with clients; Working with data teams; Working with technology teams
Communication Scope
Articulating Information; Interpreting Data; Providing Insights
Process & Methodology
Project management
Full Job 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. Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. ## Qualifications Type of Qualification: First Degree Field of Study: Information Studies Type of Qualification: First Degree Field of Study: Information Technology Experience Required Data Monetisation Data & Analytics 3-4 years Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc. 3-4 years Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience.
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