Senior Manager - Retail Risk Analytics

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

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

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

Problem Solving

Candidate must have

• 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

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

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