Manager - Risk Data Management

The role requires very strong technical and communication skills. Main responsibilities include:

• Manage risk data including data capturing, organizing, storing, and analyzing for development, validation, and implementation of Credit Risk Models and Scorecards.
• Provide advanced quantitative analytics support to the overall Risk Management function.
• Formulating management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
• Ensure implementation of risk rating models and scorecards in compliance with IFRS 9 and Basel requirements.
• Engage in Risk Architecture projects, including implementation of various risk IT applications, data analytics, data flows, standards, and processes.
• Develop and implement AI analytics to analyze risk data, using machine learning techniques to identify patterns, trends, and potential risks.
• Ensure all data management and AI analytics practices comply with relevant regulations and organizational policies.

Requirements

• Minimum of 5+ years of total experience in handling data management projects, data science, machine learning, model development within the banking and finance sector, preferably in the Credit Risk domain.
• Bachelor's degree in computer science, Engineering, Information Systems, or a related field; Master's degree is preferred.
• Excellent Credit Risk modeling, analytical, and research skills.
• Experience working with large and complex data sets, including alternative data for credit models.
• Advanced users of statistical tools and programming languages (such as SAS, R, Python, and SQL).
• Strong knowledge of handling Risk Technologies and its implementation.
• Excellent oral and written communication skills in English.

Work Conditions

• Team player and leader with the ability to work effectively in a collaborative, team-oriented manner.
• Must be detail-oriented, self-motivated, and able to multitask.
• Willing to take on additional responsibilities and tasks as needs arise.