Credit Data Analytics Specialist

About the role

We are looking for a Credit Data Analytics Specialist to join our Credit Risk and Analysis Department at the Head Office in Phnom Penh. The role will combine advanced credit risk analytics, Expected Credit Loss (ECL) modelling, and programming‑based data analysis to provide high‑quality insights for risk monitoring, IFRS 9 compliance, and strategic portfolio decisions.

Key responsibilities

• Design, develop and maintain Power BI dashboards covering credit portfolio composition, concentration risk, asset quality, delinquency metrics and ECL components.
• Integrate Python or R analytics pipelines into dashboards, optimise DAX measures and data models for large credit datasets.
• Perform credit migration, roll‑rate, vintage, stress‑testing and scenario analyses using Python/R.
• Support ECL model monitoring through trend analysis, back‑testing, drift detection and outlier identification.
• Build and maintain automated ETL workflows with Power Query, SQL and Python/R scripts, reducing manual Excel processes.
• Document methodologies, analytical assumptions and ensure auditability of all models and reports.
• Continuously enhance expertise in financial risk analytics, machine‑learning techniques and data visualisation tools.

Required profile

• Bachelor’s degree in finance, accounting, information systems or a related field.
• At least two years of experience in finance, accounting or business analytics, preferably within financial services.
• Strong understanding of credit risk and ECL methodologies.

Required skills

• Python (pandas, numpy, scipy, matplotlib, seaborn)
• R (tidyverse, data.table, ggplot2)
• Power BI (DAX, data modelling, performance optimisation)
• Power Query
• SQL