Connecting...

Senior Specialist, Enterprise Risk Analytics

Job Title: Senior Specialist, Enterprise Risk Analytics
Contract Type: Permanent
Location: Kuala Lumpur
Industry:
Salary: RM10,000 - RM 15,000
Contact Name: Maheswary Kandasamy
Contact Email: maheswary.kandasamy@ellwoodconsulting.com.my
Job Published: January 13, 2022 13:16

Job Description

About our client

Our client is one of Local Bank in Malaysia.

 

Your responsibilities

Analytical Capabilities

  • Setup of advanced analytics toolkit for the team e.g. strategic set of tools / platforms depending on model type.

  • Conduct risk analytics on various parts of the portfolio to develop insights for decision making.

  • Develop forward looking analytics/models to assist risk pillars for effective risk management.

  • 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.

  • Development of formal procedure documents governing common activities (e.g. sampling, clustering), common model forms (e.g. regressions, decision trees, hazard models) etc.

  • Development of formal documents for documentation, testing of models and outcomes.

 

Analytics Infrastructure

  • Setup data and technology infrastructure to be able to deploy, in a timely manner, best model / approach to perform the task.

  • Work with Group Analytics CoE to have an easy and timely access to clean, analytics-ready data sets.

 

You will have

  • Minimum 6 years of experience in analytical and statistical modelling related roles (banking & insurance experience is a plus) 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).