Head of Risk Architecture and Data Management

About
This is a Senior Manager role within Group Risk Management and reports directly to the Head of Enterprise Risk Management Group. The Head of Risk Architecture and Data Management supports a strategic function within Group Risk Management and provides technical leadership and project management support in implementing rating models and scorecards within the Enterprise Risk Management Group. The role requires independent thinking, strong communication, initiative, and interaction with all stakeholders within the company.

Responsibilities

• Implement a comprehensive Data Management Framework (DMF) for managing risk data including data capturing, organizing, storing, and analyzing for development, validation, and implementation of Risk Rating Models and scorecards.
• Lead and engage in Risk and Information technology projects, including risk applications architecture, risk management and analytics, data science, project management, and process optimization.
• Prepare detailed project plans to schedule key project milestones, manage resources and teams, and provide regular reports to key stakeholders.
• Analyze and validate data, ensuring data security and quality management throughout the data lifecycle.
• Conduct product evaluation sessions and feasibility studies for Enterprise Risk Management software and services.
• Assist Risk Analytics teams in the development, recalibration, and validation of Risk and statistical models.
• Lead Operational Risk activities within ERM and ensure implementation of RCSA, KRI, and control testing deliverables.

Requirements

• 10-15 years of relevant experience in Risk Management, with at least 5 years in a managerial role focusing on Basel, IFRS9, Risk Architecture, and Risk Analytics.
• An undergraduate/graduate degree in a quantitative discipline from a reputed university such as Mathematics, Computer Information Science, Statistics, Finance, or Accounting.
• Excellent Project Management and Data Science skills, knowledge of risk governance frameworks, and experience in Enterprise Risk Management.
• Advanced user of statistical software (SAS/Python/R) and ability to work independently on multiple tasks or projects.
• Strong interpersonal, leadership, negotiation, and conflict resolution skills.