X2 Scientist, Data, Business & Commercial Banking – Standard Bank Namibia
Job Description
Job Overview
Business Segment: Personal & Private Banking
Location: NA, Khomas Region, Windhoek, Chasie Street 1
Job Type: Full-time
Job Ref ID: 80407765A-0001
Date Posted: 23/01/2025
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.
Bachelor’s degree in Engineering, Applied Statistics, Physics or related.
Experience:
- 1-2 years:Â 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.
- 1-2 years: Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence.
Key Responsibilities:
- Assist the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals. Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features. Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
- Assists various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes. Assists analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives.
- Codes, tests and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
- Supports business integration through integrating model outputs into end-point production systems, incorporating business requirements and knowledge of best practices.
- Supports various mathematical, statistical, and simulation techniques to answer business questions within specific areas of focus. Develops modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions.
Behavioural Competencies:
- Examining Information
- Interpreting Data
- Producing Output
- Providing Insights
- Team Working
Technical Competencies:
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
- Research & Information Gathering
