Credit Modeller

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