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
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