Actuarial Analyst - Operations Intelligence

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Insure

Discovery Insure is committed to creating a nation of great drivers and building better businesses through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor, home and business insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

Key Purpose

To develop unique, data-driven solutions to problems faced within the operational processes for Insure. This includes optimizing and generating efficiencies in claims, sales and servicing processes using statistical, actuarial and data science techniques. This role offers the opportunity to apply machine learning and generative AI to solve a large variety of business problems practically.

Areas of responsibility may include but are not limited to

• Enhancing Insure’s fraud models.
• Developing supplier scoring and evaluation algorithms.
• Optimizing and automating supplier appointments and allocation.
• Using generative AI to optimize business processes.
• Procurement (supplier) analytics.
• Claims analytics.
• Servicing analytics.
• Piloting and testing the latest AI innovations to generate efficiencies within Insure.

Skills

• Modelling skills preferred (Intermediate)
• Statistical and analytical skills (Intermediate)
• Programming Skills: SQL, Python, Radar (Intermediate)
• Microsoft Office (Excel, PowerPoint and Word) (Advanced)
• Experience using Generative AI (beginner)

Education and Experience

Education:

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential)
• Good progress on actuarial exams, preferably academically qualified.

Minimum Experience:

• At least 1-3 years Research and Development experience within Insurance industry (Advantageous).