Job Description

Job Overview
Business Segment: Personal & Private Banking
Location: ZA, GP, Johannesburg, Simmonds Street 5
Job Type: Full-time
Job ID: 80420728
Date Posted: 11/3/2023



Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex 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. Execute intelligent automation and predictive modelling.

Qualifications
Minimum 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
5-7 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.

5-7 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. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.).

Additional Information

Behavioral Competencies:
Adopting Practical Approaches
Articulating Information
Challenging Ideas
Checking Details
Examining Information
Exploring Possibilities
Interacting with People
Interpreting Data
Meeting Timescales
Producing Output
Providing Insights
Team Working

Technical Competencies:
Data Analysis
Data Integrity
Database Administration
Knowledge Classification
Research & Information Gathering

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or TransactionFraudOpsSA@standardbank.co.za