Claims Data Analytics Specialist (80 - 100%)

Job content

About Swiss Re Corporate Solutions

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

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.

About The Role

• Reporting to the Head of Chief Claims Officer (CCO) Office, you will support Claims and other business units to better leverage the use of Claims data when making business decisions. You will be expected to function at a high level, with a great degree of autonomy.
• We’re looking for a forward-thinking individual who can enhance or current Claims reporting framework, as well as design, develop, and deploy data analytics solutions for large data sets.
• The individual will be responsible for collecting data and for the preparation of analytical insight to support claims globally (regions and central teams). This will include both formal written analysis evidenced by large sets of data and through the construction/automation of dashboards and structured reporting.
  

At Swiss Re, we are smarter together. In this role you will need to understand the needs of our insureds, claims staff, and internal stakeholders in order to deliver effective solutions.

Main Tasks/activities/responsibilities

Create, implement, and continually improve Claims analytics framework

• Analyse existing claims data
• Collect stakeholder analytics requirements
• Provide GAP analysis
• Improve major analytical deliverables, framework, and roadmap
• Enhance analytics production process
• Provide KPI’s analytical insight and analyse claims performance
• Coordinate and MI Team members in the different regions
• Collect inputs from business stakeholders in a timely manner and consolidate reportings on claims performance
• Identify and implement improvements and automation opportunities (data, KPI’s, dashboards, process…)
• Identify and implement new metrics to evaluate customer service and define targets customer satisfaction and SLA’s.
  

Statistics and predictive analytics

• Acts as the organisational authority and established expert on employing statistical techniques in order to generate quantifiable insights on trade-offs between business choices and provide a reasonable view of the most likely outcomes of each.
• Support claims function by building data modelling and such as Fraud and Recovery predictive analytical models.
• Collaborate with other disciplines (e.g Underwriting, Actuarial…) in order to provide claims function insights on future change in market portfolio, nature and frequency of claims.
  

Research

• Set thought leadership goals, make effective proposals for the investment of funds in projects, play a major role in the development of the organization’s research/thought leadership policy
• Provide industry level insights to help stakeholders make better business decisions. E.g. What should we do next in order to best position ourselves for the future?
  

Provide second pass analyses on senior management reports

• Deliver accurate, relevant, and informative/actionable insights to senior level management across various business units answering the "why?" related to claims trends.
  

Innovate

• Find innovative solutions to data issues preventing us from conducting necessary analysis, and explore ways to leverage the use of our data for the betterment of the Claims Handling function
• Assess machine learning and AI tools to support Claims Handling function
  

About You

Education and experience

• BA/BS degree in Math, Statistics, Actuarial Science, Econometrics, Engineering, Computer Science, Decision Science, Business Management, or other quantitative sciences. Advanced degrees are preferred
• At least 8+ years of experience in business analytics
• Hands to keyboard ability to deliver data and analytical projects
• Advanced knowledge in usage of PowerPoint (& other presentation tools)
• Proficiency in SQL
• Experience with Excel VBA and Access database
• Experience in BI / data visualisation tools such as Excel Pivot table, Tableau, PowerBI or Python
• You can translate ideas into practical solutions
• Experience with the following preferred: data mining, text mining, predictive modelling, statistical analyses, segmentation, computer simulation, and optimization
• Primary insurer Claims experience preferred or other primary insurance experience
  

Personal Skills & Values

• Strong communication and interpersonal skills (ability to communicate at the executive level), able to manage the needs and expectations of clients and other stakeholders
• Ability to think and act strategically
• Self-starter, ability to work independently
• Analytical, pragmatic, solution-oriented
• Change management skills a plus
• Encourages and develops the adoption of digital solutions and supports others to do the same.
• Team player, with strong attention to detail
• Ability to collaborate across regions and with colleagues from other departments including in RES, Underwriting, IT, and Actuarial
• Ability and appetite to work towards deadlines while keeping high quality standards
• Fluent in English; additional languages (e.g. European) is a plus
  

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks

Keywords

Reference Code:107826