Mashreq - Senior Manager - Retail Risk Analytics/Credit Risk Modelling

Description:

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.

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:

- 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.