Pricing Actuarial Data Scientist Short Term Insurance

Absa Bank Limited

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

Minimum 7-10 years' experience, Short-Term Insurance pricing, Actuarial modelling, Predictive analytics and data science, SQL, Python, R, SAS, or similar tools.

Demonstrated experience in developing and deploying pricing models and predictive analytics solutions. Proven ability to translate complex analytical insights into commercial outcomes and strategic business decisions.

Key Responsibilities

  • Develop, enhance, and monitor pricing models for Short-Term Insurance products.
  • Apply actuarial and data science techniques to improve pricing accuracy and profitability.
  • Analyse internal and external data to identify trends, opportunities, and risks.
  • Support the development of predictive models and machine learning solutions.
  • Collaborate with cross-functional teams including Underwriting, Finance, Risk, Product, and Distribution.
  • Deliver data-driven insights to support business growth and portfolio optimisation.
  • Ensure pricing practices align with regulatory and governance requirements.
  • Contribute to the continuous improvement of analytical tools, methodologies, and processes.

Minimum Requirements

  • Degree in Actuarial Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  • Progress towards or completion of professional actuarial qualifications will be advantageous.
  • Experience within the Short-Term Insurance industry, specifically in pricing, predictive analytics, or actuarial modelling.
  • Proficiency in analytical and statistical tools such as Python, R, SAS, SQL, or similar technologies.
  • Strong problem-solving, quantitative, and communication skills.
  • Ability to translate complex analytical findings into practical business recommendations.

What Success Looks Like

  • Delivering innovative pricing solutions that enhance competitiveness and profitability.
  • Creating insights that influence strategic business decisions.
  • Driving data-led decision-making across the organisation.
  • Balancing technical excellence with commercial impact.

Why Join Us?

This is an opportunity to work with a team of talented professionals at the forefront of insurance innovation. You will have the chance to influence strategic outcomes, work with advanced analytical tools, and contribute to the transformation of the insurance landscape through the power of data.

If you are passionate about actuarial science, data analytics, and creating meaningful business impact, we would love to hear from you. Shape the Future of Insurance Through Data and Innovation

We are seeking a highly analytical and commercially minded Pricing Actuarial Data Scientist to join our Short-Term Insurance team. This exciting opportunity is ideal for a professional who is passionate about leveraging actuarial and data science methodologies to drive pricing excellence, deliver business value, and enhance customer outcomes.

In this role, you will contribute to the development and optimisation of pricing models, apply advanced analytical techniques to complex datasets, and provide actionable insights that support strategic decision-making across the busines

Education

Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised