Are you an Actuarial Analyst with actuarial pricing experience seeking a role in machine learning and statistical modelling within a commercial firm?
Innovative, dynamic and growing Australian firm with diverse brands are experiencing unparalleled growth. With over 10 years in the industry they are already a major player as a result of their close business partnerships, pioneering solutions and their ability to grow and maintain their customer base. Working in a fast paced, ever changing commercial environment the people who thrive enjoy working for a business where business decisions can be made quickly without multiple layers of approvals and access to key decision makers are readily available.
Key to this role is a combination of technical actuarial pricing, machine learning and data modelling:
• Commercial pricing across the general and life insurance space making recommendations on pricing strategy.
• Cash flow modelling relating to new projects.
• Maintain and review current data analysis models and upgrade dashboards as required.
• Develop statistical modeling for various business units.
• Work with the business to develop new data analytic tools to provide a deeper insight to assist with core business decision making.
• Exceptional culture, friendly team, great working environment.
• Enjoy perks such as free lunch, monthly massages and onsite gym.
• Strong recognition and rewards program.
• Fresh fruit provided weekly.
• Café onsite with discounted coffee.
• Active social club with discounts to concerts, movies and Taronga Zoo!
To be successful for this contract, you must have experience with the following:
• Ideally you will have 3+ years’ experience in actuarial pricing
• Practical experience within statistical modelling and machine learning techniques.
• The ability to manipulate and manage complex data sets.
• Strong SQL and advanced Excel.
• Exceptional verbal and written communication skills.
• The ability to work efficiently under tight deadlines.
• An analytical focus and strong problem-solving skills.