Business Segment: Personal & Private Banking
Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyze phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning, and visualization 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 modeling.
Qualifications
Minimum Qualifications
- Field of Study: Information Technology Degree
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 visualization 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.).
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