Actuarial Analyst

Description

Joining as an Actuarial Analyst youll be part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics programming machine learning and Research and Development giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR youll contribute to acquiring new business and fostering market initiatives for profitability. Additionally youll have the chance to collaborate with the global SCOR team expanding your professional network and experience.

Joining in this role you will help support the Analytics team deliver its strategic plan where we aim to Intentionally improving outcomes for customers for clients the market and SCOR. You will help us deliver on all three of our strategic pillars:

1. Understanding distribution helping to reduce misrepresentation across the market and improve the quality of distribution through working with our clients.

2. Data services improving fairness and accuracy of risk pricing and maximising the impact of our data capabilities.

3. Bring in new customer expanding the protection net and helping more people get protected.

Utilising new data technique and technology will underpin our ability to deliver our strategic plan and this role is key to helping us achieve this.

Responsibilities

Developing and enhancing predictive models

Building new and enhancing existing predictive models will be a core part of the role. This could include:

• Cleaning and analysing large data sets to prepare data to build new predictive models.

• Building training and testing new models or techniques to find most appropriate model for the required task.

• Ensure results are sensible and explainable to non-experts.

Large data handling and exploration

• Working and managing large underwriting data sets to help support innovation around the future of underwriting.

• Support the development of large internal databases at the centre of the firms long-term data strategy.

• Analyse internal data to contribute to MI profitability analysis client management and research.

• Learn develop and deploy the necessary techniques and tools required to analyse large datasets for commercial insight.

Research and development

• Contributing significantly to SCORs Research and Development activities including working on mortality and morbidity trends and base tables.

• Identifying and find new data sources that can deliver value to our clients customer or internally.

• Identify appropriate external research and derive analyses from external data sets.

• Produce accurate documentation of research work carried out and help write reports and presentations to communicate findings both internally and externally.

Pricing and risk control

• Feedback data project results into internal risk control internal pricing basis or providing commercial insights to our clients.

• Support the development of large internal databases at the centre of the firms long term data strategy

• Learn develop and deploy the necessary techniques and tools required to analyse large datasets for commercial insight

• Working and collaborating with internal stakeholders and our clients to ensure all stakeholders are kept informed of progress.

Client and stakeholder management

• Sharing results insights and learnings across the business.

Qualifications

Essential:

• Experience of working both within a team and as a self-motivated individual

• Experience in handling and analysing large datasets and data visualisation techniques and software.

• Good working knowledge of Microsoft packages (particularly Excel/Access)

• Good knowledge or experience of coding Python and/or R or the desire to learn coding.

Desirable:

• Interest or knowledge of data science and machine learning technique

• Some Actuarial training (actuarial trainees or those who have given up exams will both be considered)

• Pricing experience with Knowledge of PROPHET and SAS

Personal Competencies

• Excellent analytical skills

• Self-motivation

• Customer focus

• Team work

• Attention to detail

• Excellent communication and interpersonal skills

Required Education

• Undergraduate Degree in Actuarial Science Mathematics Data Science or other numerical degree or equivalent qualifications

Required Experience:

IC

Employment Type : Contract
Experience: years
Vacancy: 1