Company: Stanbic Bank Zambia

Stanbic Bank Zambia

Location: ZM, Lusaka Province, Lusaka, Addis Ababa Drive

Business Segment: Personal & Private Banking

Job Type: Full-time

Job Ref ID: 80456070A-0001

Job Description

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. Experience in building models (credit scoring, propensity models, churn, etc.)

Behavioural Competencies:

Adopting Practical Approaches

Articulating Information

Challenging Ideas

Checking Things

Examining Information

Exploring Possibilities

Interacting with People

Interpreting Data

Meeting Timescales

Producing Output

Providing Insights

Team Working

Technical Competencies:

Data Analysis

Database Administration

Data Integrity

Knowledge Classification

Research & Information Gathering

Additional Information

Our Commitment to Diversity, Equity and Inclusion

Standard Bank Group is committed to fair and inclusive employment practices. We aim to build a workforce that reflects the diversity of the communities we serve and welcome applications from candidates of all backgrounds, including people with disabilities. We strive to create an environment where everyone has an equal opportunity to contribute and grow.

• 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.
• Work closely with clients, data and technology teams to turn data into critical information used to make sound business decisions.
• 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.
• 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.
• Experience in building models (credit scoring, propensity models, churn, etc.)

• Data Monetisation
• Data & Analytics
• Unstructured data handling
• Data flows and architecture
• ETL processes
• Data mining
• Algorithm implementation
• SAS
• R
• SPSS
• Power BI
• Tableau
• Software development
• Software engineering
• Financial services data processes
• Technical business intelligence
• IT infrastructure knowledge
• Data principles
• Project management
• Model building (credit scoring, propensity, churn)
• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification
• Research & Information Gathering
• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working

• First Degree in Information Studies
• First Degree in Information Technology