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Actuarial Manager

Discovery Limited
Sandton
Experience1 year
Salary Not disclosed
LocationSandton
Job TypeFull time
Skills: Data Science
Job Description
Job Title: Actuarial Manager Company: Discovery Limited Job Category: Data Science Roles & Responsibilities: Discovery – Insure Actuarial Manager \- 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. Key Purpose To develop unique, data\-driven solutions to problems faced within the operational processes for Insure. This includes optimizing and generating efficiencies in procurement, 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. This role specifically focuses on optimizing processes that involve external suppliers (procurement) but is not limited to this. A core focus would be to develop, implement and drive strategic procurement initiatives. Areas of responsibility may include but are not limited to: * Development and implementation of strategic procurement initiatives working closely with the procurement operations teams * Optimize and automate supplier appointments and allocation for all claim types as services. * Develop supplier scoring, coaching and evaluation algorithms that align supplier and business objectives * Develop incentive models and strategies for suppliers * Using generative AI to optimize business and procurement processes. * Advanced Procurement (supplier) analytics * Develop procurement fraud and audit models Work Location: Sandton, Gauteng, South Africa Availability: Full time
Requirements
Education And Experience Education: * Matric (Essential) * Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential) * AMASSA/ FASSA Key Skills: Data Science Salary: Not disclosed
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