About the Role

The positions are located in Port Moresby and report to the Credit Strategy & Analytics Manager. The successful candidate will play a pivotal role in facilitating the capabilities of the retail credit portfolio by managing the end-to-end data requirements. This includes data management, report automation, the development of visual insights, the maintenance of credit tools, and the stewardship of credit analytics databases. The role is essential for enhancing operational efficiency, promoting data-informed decision-making, and fostering a culture of continuous improvement in credit risk reporting and portfolio management.

Key Deliverables

• Extract, create, clean, transform, and maintain datasets to support credit risk analytics and reporting requirements.
• Conduct comprehensive analyses of large datasets to identify trends, patterns, and correlations, employing advanced statistical methods and data mining techniques.
• Design and automate recurring credit risk reports and dashboards that provide actionable insights to stakeholders in retail lending, as well as in business banking and corporate segments.
• Develop clear and compelling data visualizations to effectively communicate portfolio trends, risk movements, and performance outcomes.
• Collaborate with internal and external stakeholders to ensure alignment and successful implementation of credit strategies.
• Focus on data quality by implementing controls to validate the accuracy, completeness, and timeliness of data across inputs, reporting, and analytics outputs.
• Develop and maintain credit risk tools, such as affordability calculators, decision support calculators, and prequalification datasets and engines. These tools will operate outside core systems while also supporting other off-the-shelf products.
• Proactively seek opportunities to enhance reporting efficiency, improve data accessibility, and support automation in decision-making processes.

Essential Qualifications, Professional/Skills and Experience:

• University degree in STEM or related field Strong technical expertise and business acumen Excellent communication skills
• Highly numerate and analytical
• Experience with analytical tools and risk analytics Advanced skills in credit processes and risk management Proficient in MS Office (Excel, Word, PowerPoint)
• Knowledge of programming languages (SAS, SQL, R, Python, VBA) Understanding of lending, credit risk, and financial concepts Familiarity with credit lifecycle and regulatory frameworks
• Minimum 7 years of finance industry experience, with at least 3 years in lending data Proven ability to balance technical details with practical solutions
• Track record of effective data usage Knowledge of the end-to-end lending process
• Preferred experience in real-time lead decisioning or large-scale CRM implementation.