Graduate Actuarial Analyst

Protector Insurance are one of the fastest growing insurers in the UK, a Norwegian based company who expanded into the UK in 2015 and since grown rapidly over the last 7 years. The company provides insurance to commercial and public entities, with product distribution through selected insurance brokers. The company currently have over 450 employees, with offices in Oslo, Stockholm, Copenhagen, Manchester, London and Helsinki.

Do historical trends spark your interest?
Do you like numbers and data?
Are you interested in statistical/predictive modelling and methodologies?
Are you motivated by challenging the status quo and making a difference?
Does understanding data and developing technology really excite you? Then this position is for you!

The role description and requirements below serve as an indication of what to expect from us. In Protector we put people first, always. We believe in and live by 'fist who then what' and depending on 'who' you are we seek to find the best combination of 'what' we and you are looking for.

Join our Public Sector and Housing team at our Manchester office as an Actuarial Analyst / Data Scientist. We are looking for hands on candidates who want to work in an operationally fast-paced environment, are curious to develop professionally and seek an opportunity to be part of 'One Team'. Protector is the challenger, and what makes us different is our strong focus on our culture and values - 'Credible, Bold, Open and Committed'.

We are looking for candidates with a good technical and analytical understanding, who can contribute to the development of our quantitative abilities and forecasting models using both traditional methods and new technology. The right person will have a visible role in the organization, and you will be able to take the lead on a variety of projects, as well as focus on both business and technical aspects. We can offer a position that involves an opportunity to grow and take on responsibilities, whilst at the same time encouraging you to make your own assessments and decisions.

What you will do:

• Actively contribute to enhance the team's quantitative abilities, through improving data quality and delivering value adding analyses from large datasets of key figures.
• Continuously develop analytical tools, forecasting models and reporting systems.
• Support the underwriting team in quantitative analysis.
• Profitability and risk assessments across property, casualty and fleet motor.
• Assess premium adequacy, considering future claims, costs, and potential adverse selection due to premium structure.
• Collaborate with our Chief Actuary to ensure data quality, evaluate premium and claims development, and support insurance provisions alignment
• Support and develop the actuarial control function for the company together with one of Europe's most experienced actuaries
• Participate in the company's Own Risk and Solvency Assessment (ORSA) process.

Who you are:

• Curious about Protector's culture and values - Credible, Bold, Open and Committed
• Passionate about creating value and finding the best and most cost-effective solutions without compromising on quality.
• Willing to learn and take on new projects in an ambitions and forward leaning company.
• Motivated by the concept of 'One team' and working together to reach company, team and own targets.
• Analytical mind and strong numeracy, curious about new technology.
• Flexible in terms of priorities and changes adapting to needs from the environment around you.
• Independent, solution-oriented and welcome challenges and feedback.
• Eager to work in a fast paced, open and collaborative environment across teams and departments.

Requirements

• Master's degree or equivalent in subjects such as actuarial science, engineering, statistics, mathematics, or equivalent.
• Preferably experience from general insurance as an actuary, analyst, pricing, work with technical provisions, Solvency II or tariffs.
• Background as a project manager / participant is a plus.
• Graduates with a special interest in actuarial science are also encouraged to apply.
• Good written and verbal presentation skills in English.
• Programming skills, preferably within analytical software such as Python, R, etc.
• A good understanding of tools such as Microsoft Excel.
• Knowledge of data warehousing and BI tools is an advantage.