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
First degree
Proficiency in application and web development.
Structured and Unstructured Query languages e.g. SQL, Qlikview; Tableau, Python, C#, Java, C++, HTML
Experience
Minimum of 4 years experience in Data Monetisation. Proven development experience in software and software engineering.
Understanding of financial services data processes, systems, and products.
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. and experience with data visualisation tools, such as Power BI, Tableau, etc.