Actuarial Graduate â Life Pricing & Predictive Modelling

Network Recruitment; Johannesburg; On-site; ZAR 300,000 - 450,000; Full time

Job summary

Network Recruitment in Johannesburg invites an actuarial graduate to apply their strong mathematical and analytical foundation to real-world business problems. You will join an actuarial environment with hands-on exposure to Life Pricing, Probability & Contingencies, predictive modelling and machine learning, while developing your technical actuarial knowledge and progressing with your professional exams.

You will work with large datasets to identify trends, patterns and opportunities, support

Qualifications

• Bachelor's degree in Actuarial Science required.
• 5+ actuarial exams/exemptions passed required.
• Strong academic performance in actuarial and mathematical subjects expected.
• Interest in Life Insurance pricing, predictive modelling and machine learning preferred.
• Strong problem-solving and analytical abilities required.

Responsibilities

• Support Life Insurance pricing and related projects.
• Assist with development, maintenance and enhancement of pricing models.
• Apply actuarial principles to real-world problems.
• Work with large datasets to identify trends and opportunities.
• Support predictive modelling initiatives and analytical projects.
• Gain exposure to machine learning techniques in actuarial work.
• Perform data analysis and interpret results to inform decisions.
• Assist with testing, validation and improvement of models.
• Conduct research to support pricing assumptions and methodologies.
• Collaborate with experienced actuaries on projects.
• Continuously develop technical and actuarial knowledge.

Skills

Analytical thinking

Statistical analysis

Problem solving

Communication skills

Education

Bachelor's degree in Actuarial Science

5+ actuarial exams/exemptions passed

Job description

This is an exciting opportunity for an actuarial graduate who wants to apply their strong mathematical and analytical foundation to real-world business problems.

You will join an actuarial environment where you will gain hands-on exposure to Life Pricing, Probability & Contingencies, predictive modelling and machine learning , while continuing to develop your technical actuarial knowledge and progress with your professional exams.

Key Responsibilities

• Supporting Life Insurance pricing and pricing-related projects.
• Assisting with the development, maintenance and enhancement of pricing models .
• Applying actuarial principles relating to Probability and Contingencies to real-world problems.
• Working with large datasets to identify trends, patterns and opportunities.
• Supporting predictive modelling initiatives and analytical projects.
• Gaining exposure to machine learning techniques and their application within the actuarial environment.
• Performing data analysis and interpreting results to support actuarial and business decisions.
• Assisting with the testing, validation and improvement of actuarial models.
• Conducting research and analysis to support pricing assumptions and methodologies.
• Working closely with experienced actuarial professionals and contributing to broader actuarial projects.
• Continuously developing technical, analytical and actuarial knowledge.

Minimum Requirements

• A Bachelor's degree in Actuarial Science .
• 5 or more Actuarial exams/exemptions passed .
• Strong academic performance in actuarial and mathematical subjects.
• Strong understanding of Probability and Contingencies .
• Strong mathematical, statistical and analytical ability.
• A genuine interest in pursuing a career within Life Insurance and Life Pricing .
• An interest in predictive modelling, machine learning and data analytics .
• Strong problem-solving and critical-thinking abilities.
• Good attention to detail.
• Strong communication and interpersonal skills.
• Ability to work effectively both independently and within a team.

What We're Looking For

We are looking for someone who is analytical, curious and eager to learn .

You should have a genuine interest in understanding how actuarial techniques can be combined with data, predictive modelling and machine learning to solve complex business problems.

This role would suit someone who sees themselves building a long-term career in Life Pricing and wants to develop beyond traditional actuarial analysis by gaining exposure to modern analytical techniques.

If you are an Actuarial Science graduate with 5+ exams passed and are looking for an opportunity where you can develop your career within Life Pricing while gaining exposure to Machine Learning and Predictive Modelling , we would love to hear from you.