Manager- Actuarial Predictive Analytics and Modelling at Six Senses

Qualifications:

• Bachelor’s Degree/Advanced Diploma 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 (six) professional actuarial exam passes/exemptions will be an added advantage.
• 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.

Experience:

• 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.