Sheer Logic Management Consultants (SLMC) was incorporated in 1997 as a limited liability company whose overall aim is to provide Human Resource consultancy and training services to a diverse set of industries and economic sectors; both private and public. Our Mission Improve the operational effectiveness of our client, by developing solutions that bui...

About the Role

Our client, a leading financial services institution, is seeking to recruit a qualified and analytical Analyst, Credit Risk to support the effective management and performance of its lending portfolio. The successful candidate will be responsible for monitoring credit risk, analysing portfolio performance, evaluating credit scorecards, and developing insightful reports to support informed business decisions. The role will contribute to maintaining portfolio quality, managing emerging risks, and supporting sustainable lending growth and profitability.

Responsibilities

• Monitor and analyse lending portfolio performance, customer behaviour, risk concentrations, and emerging credit risk trends.
• Conduct advanced credit risk and portfolio analytics, including delinquency analysis, default rates, vintage analysis, and customer segment performance.
• Evaluate the effectiveness of credit scorecards, predictive models, and automated credit decision-making frameworks.
• Recommend improvements to credit policies, lending strategies, decision rules, and risk management practices.
• Develop, maintain, and enhance credit risk reports, dashboards, and management information systems.
• Prepare accurate and timely portfolio performance reports, risk appetite assessments, and key risk indicator analyses for management and relevant governance forums.
• Collaborate with Business, Credit, Data, Finance, and Risk teams to implement and monitor lending strategies and portfolio improvement initiatives.
• Identify opportunities to improve portfolio quality, lending growth, and profitability through data-driven recommendations.
• Enhance portfolio monitoring and reporting processes through automation, improved data quality, and effective analytical methodologies.
• Ensure compliance with established credit policies, risk management frameworks, and internal procedures.

Qualifications

• A bachelor’s degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Data Science, Banking, Accounting, Computer Science,
• At least 3 years of relevant experience in credit risk analytics, portfolio management, credit data analytics, or business intelligence within the banking or financial services sector.
• Experience in consumer and business banking credit analytics, preferably within digital lending environments.
• Proven experience extracting, transforming, analysing, and visualising data using tools such as SQL, SAS, Python, and Power BI.
• Practical experience developing and implementing business intelligence solutions and management reporting dashboards.
• Understanding of credit risk management, lending scorecards, predictive modelling, portfolio monitoring, and risk measurement methodologies.
• Strong analytical, quantitative, and data interpretation skills.
• Excellent attention to detail and a high level of accuracy.
• Proficiency in data management, data quality assurance, and reporting automation.
• Strong written and verbal communication and presentation skills.
• Good organisational skills, with the ability to prioritise tasks and meet deadlines.
• Strong problem-solving and critical-thinking abilities.
• Excellent teamwork and stakeholder engagement skills.
• Integrity and a commitment to established policies, procedures, and risk management standards.

• Monitor and analyse lending portfolio performance, customer behaviour, risk concentrations, and emerging credit risk trends.
• Conduct advanced credit risk and portfolio analytics, including delinquency analysis, default rates, vintage analysis, and customer segment performance.
• Evaluate the effectiveness of credit scorecards, predictive models, and automated credit decision-making frameworks.
• Recommend improvements to credit policies, lending strategies, decision rules, and risk management practices.
• Develop, maintain, and enhance credit risk reports, dashboards, and management information systems.
• Prepare accurate and timely portfolio performance reports, risk appetite assessments, and key risk indicator analyses for management and relevant governance forums.
• Collaborate with Business, Credit, Data, Finance, and Risk teams to implement and monitor lending strategies and portfolio improvement initiatives.
• Identify opportunities to improve portfolio quality, lending growth, and profitability through data-driven recommendations.
• Enhance portfolio monitoring and reporting processes through automation, improved data quality, and effective analytical methodologies.
• Ensure compliance with established credit policies, risk management frameworks, and internal procedures.

• SQL
• SAS
• Python
• Power BI
• Data management
• Data quality assurance
• Reporting automation
• Analytical skills
• Quantitative skills
• Data interpretation skills
• Attention to detail
• Accuracy
• Communication skills
• Presentation skills
• Organisational skills
• Problem-solving skills
• Critical-thinking abilities
• Teamwork skills
• Stakeholder engagement skills

• Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Data Science, Banking, Accounting, Computer Science
• At least 3 years of relevant experience in credit risk analytics, portfolio management, credit data analytics, or business intelligence within the banking or financial services sector.
• Experience in consumer and business banking credit analytics, preferably within digital lending environments.
• Proven experience extracting, transforming, analysing, and visualising data using tools such as SQL, SAS, Python, and Power BI.
• Practical experience developing and implementing business intelligence solutions and management reporting dashboards.
• Understanding of credit risk management, lending scorecards, predictive modelling, portfolio monitoring, and risk measurement methodologies.