Credit Modeller

Milliman


Date: 2 weeks ago
City: Karachi
Contract type: Full time
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

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