Quantitative Analyst | Contract at IQbusiness

Job Description

• We are seeking Quantitative Analysts for a project within a banking client. The role focuses on the development, implementation, and monitoring of credit and operational risk models, with a strong emphasis on predictive analytics and regulatory modelling.
• Skilled professionals will apply advanced statistical techniques to large, complex financial datasets, delivering robust, well-governed models aligned to business and regulatory requirements. SAS is the primary modelling environment, with additional use of R, SQL, Python, and VBA.

Key Responsibilities:

• Develop, implement, and optimise credit risk and operational risk models, including:
• Basel II/III regulatory capital models (PD, LGD, EAD)
• IFRS 9 impairment and expected credit loss models
• Application, behavioural, and collection scorecards
• Perform statistical analysis, forecasting, segmentation, and cohort analysis across the credit lifecycle.
• Conduct data extraction, cleansing, and transformation using SAS, SQL, and supporting tools.
• Build and maintain model performance monitoring and validation metrics (e.g. stability, discriminatory power, calibration).
• Produce clear model documentation and analytical insights for internal stakeholders and clients.
• Design management information and analytical dashboards to support credit risk decision-making.
• Automate modelling and reporting processes and contribute to first-principles, innovative model development.

Requirements:

• 3+ years’ experience in quantitative analysis or statistical modelling within credit or financial risk.
• Strong hands-on experience with SAS (Base/STAT/Enterprise Guide or similar).
• Working knowledge of SQL, with exposure to R, Python, or VBA.
• Solid understanding of credit risk modelling, including scorecard development and impairment modelling.
• Exposure to banking or insurance environments and familiarity with the credit lifecycle.
• Ability to translate complex quantitative outputs into clear, business-focused insights.

Deadline:28th February,2026