Credit Risk Anlayst

Reference: NFP016949-ZG-1

A leading banking institution is looking to appoint two Credit Risk Analysts to join its growing risk team. This is an excellent opportunity for analytically minded professionals with experience in credit risk, IFRS 9, impairment modelling, portfolio analytics, or model validation to contribute to strategic risk decision-making within a highly regulated financial environment.

Duties & Responsibilities

Our client, a prominent player within the banking sector, is seeking two Credit Risk Analysts to support the development, monitoring, and validation of credit risk strategies and frameworks.

The successful candidates will work closely with risk, finance, and business stakeholders to assess portfolio performance, perform quantitative analysis, support impairment and regulatory reporting processes, and contribute to the enhancement of credit risk models and methodologies.

This role offers exposure to advanced analytics, credit portfolio management, and regulatory risk frameworks within a dynamic and data-driven environment.

Key Responsibilities

• Analyse collections and recoveries portfolio performance and identify trends
• Monitor delinquency, recovery, and collections effectiveness metrics
• Develop insights and recommendations to improve collections and recovery strategies
• Perform customer segmentation and behavioural analysis
• Build and maintain management reports and dashboards
• Support forecasting, portfolio monitoring, and performance tracking
• Automate reporting and improve data processes
• Collaborate with collections, recoveries, risk, and business stakeholders
• Identify opportunities to reduce losses and improve recoveries
• Support strategic decision-making through data-driven analysis

Job Experience and Skills Required

Education

• Degree in Statistics, Mathematics, Economics, Finance, Actuarial Science, Risk Management, Data Science, or a related quantitative field
• Honours Degree advantageous

Experience

• 1+ years' experience within Collections Analytics, Recoveries Analytics, Credit Risk Analytics, or Portfolio Analytics
• Experience within a banking, lending, or financial services environment
• Exposure to collections strategies, debt recovery processes, and portfolio monitoring
• Experience working with large datasets and performance reporting

Skills

• Strong analytical and data interpretation skills
• Advanced Microsoft Excel proficiency
• SQL experience essential
• Experience with Power BI, SAS, Python, or other analytics tools advantageous
• Understanding of collections, recoveries, and credit risk principles
• Strong problem-solving and critical-thinking abilities
• Excellent communication and stakeholder engagement skills
• Ability to translate data into actionable business recommendations
• Attention to detail and strong organisational skills

For more exciting Actuarial and Analytics vacancies, please visit

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I also specialise in recruiting in the following

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact

Zahrah Gani

Specialist Recruitment Consultant

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Package & Remuneration

Annually