Manager: Actuarial Predictive Analytics and Modelling

The main purpose of the role is to manage the use of mathematical and statistical models to predict future events and outcomes that may hinder or support the Fund and their strategic/financial capabilities.

Qualifications and Requirements

• Bachelor’s Degree in Actuarial Science/Mathematics/Statistics/Data Science related qualification.
• Postgraduate in a Financial Management/ an Investment Management/ an Accounting/ a Risk Management related qualification will be an added advantage
• At least 6 professional actuarial exam passes/exemptions.
• At least one Data Science of the following certifications:
  
  • Data Science Certificate, CCP Data Engineer or SAS Academy for Data Science
  • Certified Analytics Professional, Dell EMC Data Science Professional Certification Program
  • SAS Advanced Analytics Professional Certification,
  • IBM Data Science Professional Certificate
  • Microsoft Azure Data Scientist Associate Certificate
  • AWS Certified Data Analytics
  • Certified Analytics Professional, Harvard/EdX Professional Certificate in Data Science, DASCA: Senior Data Scientist
  • Coursera: Data Science Specialization
• Relevant 6 - 8 years’ experience in an actuarial data science related environment of which 2 years must have been in management/supervisory level/area of expertise.
• Experience in SAS (Base, Enterprise Guide, and Enterprise Miner), Python or R
• Experience in building and implementation of supervised and unsupervised Machine Learning Algorithms to solve meaningful business problems.
• Some experience with Python/Microsoft Machine Learning and tools available within the machine learning ecosystem (i.e. NumPy, pandas, matplotlib, SciPy stack) and working in Jupyter notebooks.
• Knowledge and practical experience applying machine learning techniques and working in agile development teams.
• Some experience in operationalizing data science solutions or similar product development.

Technical Competencies Required:

• Excellent verbal and written communication skills.
• Strong Microsoft Excel, Access and MS Word skills.
• Complex problem identification, solving and decision making.
• Sound actuarial judgment.
• Strong technical background in data analytics and modelling.
• Strong planning and time management of both own and direct team`s work
• Strong focus on executing plans and delivering results.
• Pro-active approach and keen to take ownership of work.
• Independent and creative in analysing business results, develop