Jobs at SRKay Consulting Group

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
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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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