About this role
About Milliman
Milliman is one of the world's largest providers of actuarial and related consulting services, with practices in healthcare, property & casualty insurance, life insurance and financial services, and employee benefits. Established in 1947, Milliman is an independent firm with a global presence. Our Karachi office supports consulting projects across the Middle East and GCC regions.
Key Responsibilities:
• Develop and implement credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.
• Perform data analysis and statistical modelling to assess credit risk and forecast potential losses.
• Gather, manage, and analyze data for model development and validation.
• Collaborate with cross-functional teams to integrate credit risk models into business processes and systems.
• Prepare comprehensive reports and presentations on model findings, methodology, and performance for senior management and stakeholders.
• Stay updated with industry trends, regulatory changes, and best practices in credit risk modelling.
• Assist in derivative (Swap) valuation
Qualifications:
• Proven experience in IFRS 9 modelling, PD modelling, and LGD modelling.
• Strong knowledge of databases and data management practices.
• Proficiency in Excel and PowerPoint for data analysis and presentation.
• Excellent analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in a team environment and communicate complex concepts clearly.
Preferred Skills:
• Experience with programming languages such as SQL, Python, R, and VBA.
• Familiarity with data visualization tools like Power BI.
• Prior experience working at a Big 4 consultancy firm.
• Advanced proficiency in Excel, including complex formulas, pivot tables, and data analysis tools.
• Strong presentation skills with the ability to convey technical information to non-technical audiences.
• Experience in derivative valuation.
Education:
• Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related field. A Master's degree or relevant certification is a plus.
• CFA