Job description
About our client
Our client is one of Local Bank in Malaysia.
Your responsibilities
Analytical Capabilities
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Setup of advanced analytics toolkit for the team e.g. strategic set of tools / platforms depending on model type.
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Conduct risk analytics on various parts of the portfolio to develop insights for decision making.
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Develop forward looking analytics/models to assist risk pillars for effective risk management.
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Standardisation/Automation of core analytics to be able to run it on an ongoing basis.
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Co-ordinate with Enterprise Risk team to feed the BAU risk analytics into reports.
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Development of formal procedure documents governing common activities (e.g. sampling, clustering), common model forms (e.g. regressions, decision trees, hazard models) etc.
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Development of formal documents for documentation, testing of models and outcomes.
Analytics Infrastructure
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Setup data and technology infrastructure to be able to deploy, in a timely manner, best model / approach to perform the task.
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Work with Group Analytics CoE to have an easy and timely access to clean, analytics-ready data sets.
You will have
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Minimum 6 years of experience in analytical and statistical modelling related roles (banking & insurance experience is a plus) and Proficient Python Programming Language.
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Ability to generate analytical insights to business problems.
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Present and communicate with clarity on the analytical solutions.
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Work in Agile Environment.
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Deep expertise in data mining, analytical techniques & solutions.
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Hands on experience in handling & managing large quantum of data via appropriate tools & techniques.
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Excellent understanding of relevant Big Data tools like SAS, Oracle BDA.
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Data Modelling experience (e.g. segmentation).
