Manager - Risk Data Management

ADIB - Abu Dhabi Islamic Bank; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading bank in Abu Dhabi is seeking a Manager for Risk Data Management. The role involves managing risk data, developing credit risk models, and ensuring compliance with regulations. Candidates should have strong technical skills in data analytics and a solid background in banking and finance, particularly in credit risk management.

Qualifications

• Minimum 5+ years in data management, data science, machine learning, and risk model development.
• Experience in banking/finance, particularly in Credit Risk, Basel II, IFRS 9.
• Strong knowledge of IT systems and coding abilities.

Responsibilities

• Manage risk data for model development and implementation.
• Perform quantitative analysis using statistical software.
• Implement secure data procedures and troubleshoot data issues.

Skills

Data Management

Machine Learning

Risk Analysis

Communication

Quantitative Analysis

Education

Bachelor's in Computer Science

Master's preferred

Tools

SAS

Python

R

SQL

Power BI

SAP BusinessObjects

Job description

Job Description

Role: Manager - Risk Data Management

Location: Abu Dhabi

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

1. Manage risk data including data capturing, organizing, storing, and analyzing for development, validation, and implementation of Credit Risk Models and Scorecards.
2. Provide advanced quantitative analytics support to the overall Risk Management function.
3. Formulate management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
4. Ensure implementation of risk rating models and scorecards in compliance with IFRS 9 and Basel requirements.
5. Engage in Risk Architecture projects, including the implementation of various risk IT applications, data analytics, data flows, standards, and processes.
6. Develop and implement AI analytics to analyze risk data, using machine learning techniques to identify patterns, trends, and potential risks, including data exploration and quality trend assessment.
7. Ensure all data management and AI analytics practices comply with relevant regulations and policies.
8. Manage projects effectively, meet objectives, and respond to team needs.
9. Maintain attention to detail and multitask efficiently.
10. Possess strong knowledge of IT systems, Risk Management tools, relational databases, and software development, with coding abilities.
11. Demonstrate independent thinking, strong communication, initiative, and stakeholder engagement within the bank.

Key Responsibilities:

• Manage data for risk models and scorecards development and implementation.
• Implement secure and efficient data procedures, liaising with vendors and IT teams.
• Perform quantitative analysis using statistical software (SAS, Python, R).
• Utilize data analytics and reporting tools (Power BI, SAP BusinessObjects, SQL Server).
• Support model development, recalibration, and validation through data analysis.
• Apply techniques such as generative AI, classification, regression, clustering.
• Troubleshoot data issues and ensure data quality and security.
• Manage reporting for senior management and regulators.
• Work collaboratively with team members, demonstrating leadership and a positive attitude.

Education & Experience:

Minimum 5+ years in data management, data science, machine learning, and risk model development within banking/finance, especially in Credit Risk, Basel II, IFRS 9. Bachelor's in Computer Science, Engineering, or related; Master's preferred.

Technical Skills:

• Expertise in credit risk modeling, analytics, and research.
• Experience with large datasets, alternative data, and credit risk best practices.
• Knowledge of ML algorithms (SVM, Random Forest, Gradient Boosting).
• Proficiency in SAS, R, Python, SQL.
• Understanding of Risk Technologies and implementation.
• Excellent communication skills in English.

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