Actuarial Graduate – Life Pricing & Predictive Modelling

SUMMARY:
Are you an Actuarial Science graduate looking to build your career within Life Insurance and Pricing, while gaining exposure to predictive modelling, machine learning and data-driven actuarial solutions?

POSITION INFO:
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:
 
As an Actuarial Graduate, you will be involved in a range of actuarial and analytical activities, including:

• 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.

• 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.

• Actuarial (Life, Short-Term, Pensions, Health, Quant)
• Data Science & Advanced Analytics
• Pricing & Product Modelling
• Market, Credit & Quantitative Risk
• Machine Learning & AI Specialists