Senior Specialist, Enterprise Risk Analytics

Senior Specialist, Enterprise Risk Analytics

RHB Banking Group
6-9 years
Not Specified

Job Description

Primary Objective:
    Identify risk analytics use cases for all risk pillars and align to the bank's business objectives Conduct initial assessment including cost-benefit assessment to prioritise POCs of use cases Assist the Head of Department to setup the analytics framework for defining the type of analytics that the team should be doing on an ongoing basis - across risk types, cross-risk and also across regions/customer segments etc.

Key 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

Bachelor Degree - . Bachelor degree or above in Economics, Finance, Math, Statistics, Actuarial Science or equivalent.
    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)

Dental, Education support, Miscellaneous allowance, Medical, Loans, Sports (e.g. Gym), Parking, Vision, Regular hours, Mondays - Fridays, Casual Business Wear, Performance Based Rewards

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