- Developing a strategy for the automation of MI, data analytics and value adding insights
- To ensure the effective execution and consolidation of information for critical management committees
- Help build a team of data analysts and create a culture of data led decision making
- Promote a high-performance culture in the team through embedding formal Performance Development, coaching, mentoring, and building up team members through leading by example
- Strong coding experience in Python, R, and Apache Spark
- Experience working with learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models, etc.
- Maintains Inventory of all relevant MIS / Reports / Dashboards
- Preparation and distribution of relevant reports / MIS to relevant functions
- Strong knowledge of Data Warehouse/ Data Lake and Big Data Platforms
- Development and monitoring of Expected Credit Loss Model (ECL)
- Ability to build loss forecasts
- Ability to understand Credit related data and its usage in reporting
- Code Review
- Understanding of Bureau data
- Experience on BI Platforms like Qliksense, Tableau, SAS VA
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