Head, Enterprise Risk Analytics - SRKay Consulting Group
- Kuala Lumpur, Kuala Lumpur, Malaysia
- Apply by: Jan 01, 2026
- 1 Vacancy
- Local Candidates (Malaysia)
- Experience: Year
- Full Time/Permanent
- Work from Office
Job Description
Key Responsibilities;
Analytical Capabilities
- Lead the team in setting up of advanced analytics toolkit for the team e.g. strategic set of tools / platforms depending on model type
- Supervise the risk analytics use cases for all risk pillars and align to the bank’s business objectives and to develop insights for decision making;
- Review the initial assessment including cost-benefit assessment to prioritise Proof of Concepts of use cases
- Guide the team in developing forward looking analytics/models to assist risk pillars in their risk management
- Lead the team in the standardisation/automation of core analytics to be able to run it on an ongoing basis
- Co-ordinate with Enterprise Risk team to feed the BAU risk analytics into reports
- Ensure development of formal procedure documents governing common activities (e.g. sampling, clustering), common model forms (e.g. regressions, decision trees, hazard models) etc.
- Ensure Development of formal documents for documentation, testing of models and outcomes
Analytics Infrastructure
- Lead the setting up of data and technology infrastructure to be able to deploy, in a timely manner, best model / approach to perform the task
- Establish the arrangement with Group Analytics CoE to have an easy and timely access to clean, analytics-ready data sets
Requirements
- Minimum 15 years of experience in analytical and statistical modelling related roles (banking & insurance experience is a plus
- Proficient in SAS Programming (minimum 5 years) and Proficient Python Programming Language
- Ability to generate analytical insights to business problems
- Present and communicate with clarity on the analytical solutions
- Work in Agile Environment
- Deep expertise in data mining, analytical techniques & solutions
- Hands on experience in handling & managing large quantum of data via appropriate tools & techniques
- Excellent understanding of relevant Big Data tools like SAS, Oracle BDA
- Data Modelling experience (e.g. segmentation)
- Strong communication and presentation skills
Skills Required
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