Job Description
JOB DESCRIPTION
1 Job Title Senior Manager - Retail Risk Analytics, Credit Risk Modelling & IFRS9
Department - Risk Management
Band K+
Direct Supervisor: VP - Retail Risk Analytics, Credit Risk Modelling & IFRS9
2 Job Purpose
To ensure development, implementation, and maintenance of credit risk scorecards for credit risk management decisions, and provide analytical solutions to policy managers as situations/events warrant
3 Key Result Areas
Responsible for the development, implementation and maintenance of credit scoring models/assessment tools, strategies and capital estimate modeling of PD, LGD and EAD that apply to retail portfolios across life cycle
Monitor, Document and communicate the functionality of credit risk methods & models to various stakeholders
Provide recommendations to update the model based on latest data and analysis
Prepare / support Basel team on regulatory reports relating to retail credit portfolio in line with internal & regulatory requirement
Assist in implementation of IFRS 9, development of Basel models for the entire retail portfolio
Deploy the models on rating system and work with IT for effective maintenance of the scoring related information
Identify analytical opportunity across credit life cycle Acquisition, Portfolio Management and Collection
Required to develop data-driven analytics to monitor the asset quality and minimize the credit risk of retail portfolio
Carry out analytical projects together with policy when credit events warrant as required
Ensure timely communication of scorecard monitoring and validation along with insights and recommendation
Contribution to the formulation of a successful growing team
Perform other duties as assigned
4 Operating Environment, Framework and Boundaries, Working Relationships
Regular interaction and working relationship with
Retail Credit Policy
Segment Heads - Business and Marketing
Group Finance and CAD
Credit Systems
Executive Management
5 Problem Solving
Candidate must
Strong analytical and problem-solving skills
Have understanding of credit scorecard concepts and best practices in risk modeling
Have strong prior end-to-end experience with respect to scorecard development, implementation, refinement and validation within either a retail or wholesale environment
Have practical IT experience of SAS, Oracle, Microsoft and web-based systems
Stakeholder management skills
Capacity to communicate at all levels
Possess strong verbal and written communication skills
6 Decision Making Authority & Responsibility
Responsible for model ownership and authorization
Ensure that the models are compliant with Regulatory requirements such as CB MMS & MMG
Be responsible for model changes and authorization thereof
Ensure seamless validation of model results
Ensure model black box integrity model confidentiality
7 Knowledge, Skills and Experience
Minimum 5 years hands on experience in model building methodologies, implementation and compliance.
Expert knowledge of credit scoring techniques
Degree in Quantitative / Statistics / Actuarial Science / Mathematics (Finance exposure would be a plus);
Strong analytical, numerical, research and problem-solving skills
Advanced statistical software skills (e.g. SAS)
Proficient in MS Office, Experience in SQL
Experience in open source scripting such as Python/R
Experience in working with big data such as Hadoop
Ability to present technical concepts for business understanding
Team player, self-starter, innovative and highly motivated
