Saudi Pak Investment Company Jobs Risk Modelling & Analytics Professional
Saudi Pak Investment Company Jobs Risk Modelling & Analytics Professional:
Organization: Saudi Pak Investment Company
Saudi Pak Investment Company is looking for a Risk Modelling & Analytics professional to strengthen our risk management capability and lead the development, validation and enhancement of models across Credit, Market and Operational Risk.
The role offers an opportunity to work on key areas including Credit Risk Rating, IFRS 9, Market Risk and Operational Risk models, while supporting risk frameworks, model governance and data-driven risk insights for senior management.
What we’re looking for:
• Master’s/MBA in Finance or equivalent, CA/ACCA, or Master’s in Statistics
• Minimum 5 years’ experience, including at least 3 years in risk analysis, financial modelling and/or data science
• Strong analytical, modelling and risk management capabilities
POSITION: MANAGER RISK MODELS
SALARY LEVEL UP TO AVP
LOCATION ISLAMABAD
JOB SUMMARY
This position serves as the primary risk function, to build, improve and maintain models for credit risk, market risk and operational risk models.
KEY RESPONSIBILITIES
- Test existing models including Comprehensive Risk Rating Model (ORR, FRR & GRR), IFRS9 model, Market Risk Model and Operational Risk Model to ensure accuracy, stability, and adherence to business goals.
- Make sure all risk models follow industry laws and internal governance rules.
- Present model results and risk forecasts to senior management and stakeholders.
- Review the Company’s internal credit risk rating framework, IFRS-9 policies and manuals, market risk management frameworks
- Assist CRO in review of the Risk Management Policies & Procedures, including the development of models for advanced approaches where necessary. Carry out any other tasks as may be assigned by the management from time to time.
Only short-listed applicants will be contacted.
Applications should be addressed to the Head of Human Resources Division
Apply by: 3 October 2026
[email protected]
Only shortlisted candidates will be contacted

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