Portfolio Risk Analyst

Role: Portfolio Risk Analyst

Location: Abu Dhabi

Role purpose:

This is a Risk Analyst role within Enterprise Risk Management, and the following skill sets are essential for success in this position:

• Data analysis and visualization.

• Assist in preparing risk dashboards and risk reports.

• Support data reconciliation and validation tasks to ensure data integrity.

• Conduct ongoing monitoring of deployed scorecards and models to assess performance.

• Assist in data cleaning and preparation for analysis to improve data quality.

• Create Excel-based reports and implemented automation to streamline reporting processes.

Key accountabilities of the role:

• Conduct regular monitoring of deployed credit risk scorecards (application, behavioral).

• Track performance metrics of models.

• Prepare and maintain risk dashboards and monthly performance reports.

• Automate reporting processes using Excel, SAS, or Python.

• Perform data cleaning, transformation, and exploratory analysis.

• Validate input data used in scorecard monitoring and ensure consistency across systems.

• Support reconciliation between source systems and reporting platforms.

• Develop and maintain automated scripts for scorecard monitoring and reporting.

• Identify opportunities to streamline manual processes and improve efficiency.

• Ensure documentation and audit trails are maintained for all monitoring activities.

• Maintain documentation for scorecards and models, including development, validation, and monitoring reports.

• Ensure compliance with internal model governance and regulatory standards.

• Liaise with credit risk, compliance, and IT teams to align data and reporting needs.

• Perform deep-dive analysis on specific risk events or portfolio segments.

Functional skills:

• Understanding scorecard / model performance metrics (e.g., KS, GINI, PSI, CSI).

• Familiarity with application and behavior score models and predictive modeling concepts.

• Knowledge of credit risk metrics: credit score dashboards, risk segmentation, approval / rejection rates, default rates, and delinquency rates (30/60/90+ days).

Soft Skills:

• Ability to present findings clearly.

• Working with risk teams, data teams, and IT.

• Handling recurring reporting tasks efficiently.

• Strong communication skills, with the ability to present findings clearly and effectively to stakeholders.

IT skills set:

• SQL: Writing queries to extract, join, and manipulate data from databases.

• Excel (Advanced): VBA macros, pivot tables, charts, conditional formatting and dashboard creation.

• SAS / R / Python: For statistical analysis, model monitoring, and automation.

• Excel Charts & Conditional Formatting: For quick visual insights.

Education and experience:

• Experience: 2 – 4 years of professional experience in Credit Risk Management, preferably within the banking or financial services sector.

• Education: Bachelor’s degree in finance, Economics, or a related field.

• Certifications: Professional certifications such as CFA and FRM are preferred.