Main duties:
• Develop and enhance Probability of Default (PD), Loss Given Default (LGD), and Exposure At Default (EAD) models in accordance with Basel or IFRS 9 standards.
• Conduct validation of model performance, Basel II PD, LGD and EAD models, as well as portfolio stress testing.
• Generate, analyse and standardise portfolio risk and capital reports, scorecard performance report and booking profile. Perform credit risk advise to senior management, regulators and other key stakeholders.
• Analyse product and credit programmes, including the review / estimation of risk parameters, product pricing, product structure and regulatory requirements.
• Undertake advanced data analysis and modeling to support business decision-making, leveraging techniques including statistical analysis, machine learning, and predictive modeling.
• Stay abreast of emerging technologies, including cloud computing and Generative AI (GenAI), and explore their potential applications within the organization to optimize operations and drive innovation in risk management practices.
• Conduct training and research and development of new models, methodologies and model applications.
Requirements:
• Final-year undergraduate or recent graduate in Information Technology, Data Science, Computer Science, Information Systems.
• Foundational knowledge of at least one BI/data visualization tool (Tableau/Power BI). Demonstrated ability through coursework, personal projects or competitions is sufficient
• Basic to intermediate SQL proficiency (academic coursework or self-study)
• Proficient in Microsoft Word, Excel, and PowerPoint
• Strong English communication skills
• Detail-oriented with strong organizational skills and a structured approach to work
• Punctual, dependable and committed to full-time availability throughout the internship period
• Proactive learner with a genuine willingness to pick up new tools, concepts and domain knowledge
• Comfortable working both independently and collaboratively in a fast-paced, client-facing project environment
Nice-to-have
• Exposure to IT risk management, IT governance or cybersecurity concepts (academic or self-study)
• Prior internship or project experience in banking, fintech or consulting environments