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Location: 

London, GB

Life & Health Claims Intern

 


About Swiss Re
 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

About the Role

 

To support the strategic goals of the UK & Ireland claims department and Swiss Re by assisting with key department projects for 2021:

  • Key project 1: assisting with the quantitative/qualitative data analysis phase of a new project, involving using an innovative return to work approach to reduce sickness absence rates and thereby income protection claims costs;

  • Key project 2: continuing the data collection and analysis as part of an ongoing research project looking at psychosocial factors as predictors of return to work;

  • Additional projects, as time allows, including producing communications/marketing materials (including claims case studies) around the focus topics of mental health, cancer, and lifestyle factors that influence morbidity.

 

Rehabilitation is receiving growing attention at not only an insurance industry level, but also from government as we see a move away from state funding of benefits, and ongoing welfare reform. The L&H industry has a role to play here due to the proactive work we do focused on facilitating the recovery and return to work of people who are off work due to illness and injury (through funding physical and psychological treatment, vocational rehabilitation, and other rehabilitative services for income protection claimants).

 

Our ongoing broad aim as a small healthcare professional team within the insurance sector, is to prove the case for implementing rehabilitation initiatives across income protection policies, by demonstrating the benefits of these initiatives in achieving higher claimant return to work rates, improving the customer experience, and being a cost-effective income protection claims management tool.

 

The intern will provide valuable assistance to the claims clinical team, by supporting our data analysis in two key research projects:

 

Project 1 is a collaboration with a UK university (part-funded by a government Innovate UK research grant), aimed at enhancing the current income protection offering using an evidence-based return to work approach. Our goal is to develop an employee-focused return to work support package, in the income protection insurance environment, that is evidence-based and engaging – and that works.

 

Project 2 has been ongoing since 2011. This next key stage of the project involves ongoing analysis (alongside a data science colleague) of the return to work outcomes of a 1,000+ cohort of income protection claimants who have been assessed using our in-house developed "psychosocial return to work predictive tool"; further recalibration of the underlying predictive model as more data is received from insurer clients participating in our pilot; and assessing the tool's usefulness in improving claims outcomes and reducing claims costs.

 

KEY ACCOUNTABILITIES:

  • Assist the Project Leads in analysing the feedback gathered via stakeholder input sessions (Project 1), and analysing the efficacy and statistical strength of the predictive model (Project 2), followed by the use of basic statistical analysis, and collaboration with other Swiss Re colleagues including statistician expert and (psychiatrist) Medical Consultant.

  • Support the Project Leads in identifying trends in the data which indicate strength/weaknesses in the research/model, and explore the implications for further deployment to clients.

  • Support the Project Leads in documenting the outcomes of this further analysis, including overall key messages for later sharing both internally and at an industry level (eg for presentation at industry conferences and/or for journal submission).

  • Support wider claims team colleagues with other key projects as time allows.

  • With guidance from the Supervisor and the Project Lead, manage and organise own work effectively, to ensure that the agreed priorities and deadlines are achieved.

  • Undertake required training as identified by the Supervisor and the Project Lead.

 

About You

 

  • Experience in quantitative/qualitative data analysis and ability to identify trends in data.

  • Experience maintaining accurate records.

  • Proficiency using Excel at a basic/intermediate level is required.

  • Familiarity with Powerpoint would be advantageous.

  • Skills in web design and development would be advantageous.

  • Accurate and numerate. Able to demonstrate attention to detail.

  • Familiarity with basic statistical principles would be advantageous.

  • Basic understanding of common health conditions which result in sickness absence would be advantageous (but is not required).

 

Competencies:

  • Good communication skills.

  • Solution orientation.

  • Team player who can collaborate and maintain working relationships with team members, and other internal stakeholders.

  • Willingness to learn about the role of claims and specifically the claims clinical team, in the re/insurance process for income protection policies.

  • Comfortable learning new systems and processes.

  • Comfortable working virtually.

 

The role is hired for 10 week summer placement from end of June to August.

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.


Keywords:  
Reference Code: 100472 

 


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