Actuary at Discovery Limited

Purpose

• The Individual Life Advanced Analytics function is responsible for innovative, strategic and impactful projects for the business. The focus of the team is to support development and implementation of data science projects and involves exposure to a wide range of business areas such as underwriting, claims, legal and other operations, as well as the wider Discovery Group.

Key Outputs / Job Responsibilities

Key Outputs may include but are not limited to:

• Mining large structured and unstructured datasets for data exploration to find new insights
• Perform data investigations to inform operational efficiency and interaction strategies
• Transform data into meaningful model inputs and data pipelines
• Develop and refine predictive models such as fraud, underwriting and customer behavioural models
• Prototyping and supporting the implementation of Natural Language Processing (NLP), Large Language Model (LLM) and other generative AI business cases
• Support model implementation and monitoring of model performance
• Further develop existing models and research new techniques to fully utilise the unique and rich Discovery data universe
• Participate in the wider Discovery Data Science community

Work Experience

Essential:

• 3 – 5 years related experience

Advantageous:

• 5 years related experience

Education / Qualifications / Accreditations with Professional Body

Essential:

• Qualified Actuary (FIA, FASSA)

Professional Registration required:

• Qualified Actuary (FIA, FASSA)

Technical Skills or Knowledge

Required:

• Programming skills
• Statistical and mathematical skills
• Great writing and reporting skills
• Life insurance actuarial knowledge
• Presenting insights and solutions to senior management

Advantageous:

• Programming skills, specifically in Prophet, SQL and R/Python
• Expert statistical and mathematical skills
• Storytelling and data visualisation in addition to reporting skills
• Life / Health insurance actuarial knowledge