Head of Research and Development

Network Finance.; Cape Town; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Network Finance. Cape Town seeks a Head of Research and Development Actuary to lead the R&D team, drive innovation in actuarial methodologies and pricing strategies, and align research with business goals.

You will manage a team of actuaries and researchers, collaborate with product development, underwriting and data science, and push advanced models and tools to market maturity.

Qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field.
• Advanced degree (e.g., FSA, FCAS, PhD) preferred.
• 10+ years experience within the insurance or reinsurance industry, with a focus on research and development.

Responsibilities

• Lead and manage a team of actuaries and researchers in the development of cutting-edge actuarial models, tools, and techniques.
• Drive research initiatives to enhance predictive modeling, risk assessment, and pricing strategies.
• Collaborate closely with cross-functional teams including product development, underwriting, and data science to integrate research findings into business strategies.

Skills

Leadership

Team management

Actuarial leadership

Education

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field

Advanced degree (FSA, FCAS, PhD) preferred

Tools

R

Python

SAS

Job description

Reference: NFP013981-SHb-1

We are seeking a highly skilled and experienced individual to join our team as the Head of Research and Development Actuary. In this role, you will lead our Research and Development (R&D) team, driving innovation and excellence in actuarial methodologies and practices.

Duties & Responsibilities

If you are a dynamic leader with a passion for pushing the boundaries of actuarial science and driving impactful research initiatives, join us in shaping the future of the insurance industry!

Responsibilities:

• Lead and manage a team of actuaries and researchers in the development of cutting-edge actuarial models, tools, and techniques.
• Drive research initiatives to enhance predictive modeling, risk assessment, and pricing strategies.
• Collaborate closely with cross-functional teams including product development, underwriting, and data science to integrate research findings into business strategies.

Requirements:

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field. Advanced degree (e.g., FSA, FCAS, PhD) preferred.
• Qualified actuary.
• 10+ years experience within the insurance or reinsurance industry, with a focus on research and development.
• Proficiency in programming languages such as R, Python, or SAS for data analysis and modeling.