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Modelling Analyst - Old Mutual

Location: Harare
Alert: Application Deadline Expired

Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending.

We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.

Job Description

  • The role will be focused on developing models for the Society using modelling and analytics expertise as guided by the model risk framework, aligned to internal policies, regulatory standards and international best practice under the supervision of the Head of Modelling.
  • Work closely with the business to understand the business context for model use, producing technical guidance and adding value to the business process.
  • Development, testing, documentation and maintenance of the Society’s models and analytical tools using the appropriate methodologies to meet standards set by the model governance group.
  • Ensure adherence to model risk management policies, procedures, and processes.
  • Investigation and resolution of model-related issues whilst providing practical quantitative support to model users. Provide accurate and timely financial modelling advice to the business in a way that non-specialists can easily understand.
  • Conduct comprehensive testing of out-of-the-box vendor models and related analytics before roll out.
  • Ensure the validity of data by identifying non-compliance with data quality standards and make recommendations for corrective action.

Qualifications & Experience

  • First Degree in a quantitative field such as Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, Engineering, Financial Engineering or Actuarial Sciences.
  • Postgraduate quantitative degree is an added advantage.
  • 2-5 years of experience in model development; validation; and analytics approaches and practices in the financial services industry covering applied statistics, data manipulation, programming and analytical techniques such as linear and nonlinear regression, time series forecasting, panel data analysis, optimisation, data mining and survival analysis. Strong programming skills in systems such as Python, R or SAS, SQL and Machine Learning for large date sets.
  • Experience in building models, understanding the logic and approach in building robust models that aid decision making for the Society.
  • Proficiency in programming and data analytics tools such as Python, R or SAS, SQL and Machine Learning for large date sets.
  • Knowledge and experience of the model development process and international best practices.
  • Knowledge of Basel II/ III, and IFRS 9 requirements is a must.


  • Analytical Thinking, Data Analysis, Data Analysis Tools, Financial Engineering, Financial Modeling, Model Risk, Risk Framework


  • BSc Mathematics Sciences: Quantitative Sciences

How To Apply 

To Apply Use Link:   

Alert: Application Deadline Expired

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