Actuarial Analytics Consultant at Sanlam Indie

About the Job

The individual appointed to this position is expected to:

• Keep up to date with new techniques and trends in the evolving field of data science/machine learning and assist in translating our learnings into applications for the business
• Collaborate with SBI and traditional actuarial functions in SRA (i.e., Product Management, Reporting, Risk & Capital Management) to explore and scale the integration of analytics within traditional actuarial operations and practices
• Engage with stakeholders across our business to promote and embed the actuarial analytics solutions built in the Advanced Analytics team What will you do?

Key responsibilities include :

• Actuarial analytics
  • Innovate actuarial practices in modelling mortality, morbidity, and other key actuarial assumptions
  • Enable the business to have a better understanding of client and intermediary behaviour
  • Contribute to discussions, development, and application of strategic metrics such as client life stage value
• Research and thought leadership
  • Contribute to our research capability within the Advanced Analytics team with a specific focus on applications of data science in actuarial science
  • Translate research into application for the business
• Stakeholder Engagement
  • Engagement with traditional actuarial departments as well as the wider businesses to embed actuarial analytics solutions in operations
  • Propose solutions and strategies to business challenges
• Implement and Monitor
  • Develop processes and tools to monitor and analyse model performance and data accuracy
• Team Effectiveness
  • Collaborate with engineering and product development teams
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • What will make you successful in this role?

Requirements:
Qualifications:

• Newly qualified actuary or Actuarial student making good progress with actuarial exams.
• Bachelors and/or Master’s degree in data science, mathematical statistics, computer science or related field would be advantageous.

Experience and skills:

• Experience in applying data science concepts in an actuarial context to generate business value would be advantageous.
• Experience querying databases and using statistical computer languages when managing data (eg. R, Python, SQL, etc.)
• Knowledge and experience in application of statistical modelling techniques.
• Experience visualizing/presenting data for stakeholder use.