Analytics data strategy lead

About the Job

The Role

As the Analytics data strategy lead, you will be responsible for shaping and leading the operational delivery of data and analytics across our Treaty Reinsurance/speciality broking business. This role is focused on the commercial application of reinsurance data, transforming how data is captured, managed and utilised to support business decision-making and provide specialist data-driven advisory to broker and clients.

You will be an insurance expert with extensive experience working with analytical functions (actuarial, pricing, portfolio management, claims, exposure management, and CAT/non-CAT) within a reinsurance broker or reinsurer. The successful candidate will have experience with the data challenges associated with speciality insurance classes, and additional expertise in NA would be advantageous.

Whilst this role is ‘business side’, a solid knowledge of the range of technology and vendor applications and when to use which technology, particularly related to data ingestion. External data augmentation, storage and downstream use is essential.

You will work closely with leaders across Analytics, Technology, Broking and Operations to ensure data is treated as a strategic asset, driving innovation and commercial value

Key Responsibilities

• Facilitate the development of the analytics data strategy with the Data and Analytics leadership team in partnership with IT and Broking

• Be an ambassador for enhancing reinsurance broking advisory underpinned by cutting-edge data and analytics.

• Provide challenge to the status-quo to enhance data and analytical capabilities

• Own the operational delivery of analytics data strategy. Design and implement the short and long term analytical data requirements, tools and processes in line with the data strategy.

• Collaborate with the enterprise data lead to develop aligned solutions in respect of data and analytics.

• Develop a clear approach and data -driven culture to structuring and enriching data across speciality lines and treaty reinsurance.

• Represent business needs during technology design and vendor selection.

• Collaborate with Broking and Analytics to define clear use cases that drive value from data, and manage the associated delivery roadmap, including the development and commercialisation of new data products and insights

• Manage and maintain robust data governance frameworks to ensure data quality, consistency and compliance

• Drive continuous improvement in data processes, tools and reporting capabilities.

• Over 26/27 the role holder will lead a small team of data experts

• From a stakeholder perspective, the role holder needs to be able to work and communicate effectively with Business, IT and technical colleagues at all levels

• A working understanding of regulatory constraints and compliance with relevant data protection and reporting standards

About you

You are a technical and commercially minded data practitioner with a passion for data and its potential to transform business outcomes. You bring deep expertise in analytics and data strategy from within reinsurance, as well as a strong understanding of Speciality and Treaty Reinsurance dynamics.

You are comfortable operating at hands-on levels and have a proven track record of data innovation, delivering complex data initiatives, and influencing IT and business stakeholders.

Skills & Experience

• Strong knowledge of Treaty & speciality reinsurance

• An insurance data practitioner

• Has experience working at a complex reinsurance entity (reinsurer/broker or a highly complex global insurer)

• Experience of working with external data providers, open-source data and real-time data, to enhance proprietary data

• Experience in developing and implementing data governance frameworks

• Experience in developing and designing a data strategy

• Experience in designing and developing a target architecture infrastructure to serve data and analytical requirements.

• Excellent communication skills, with the ability to influence and engage stakeholders at all levels.

• A degree in a quantitative discipline (e.g., Mathematics, Statistics, Data Science, other STEM subjects) is advantageous, as are postgraduate qualifications or professional certifications (e.g., ACII).

• A proactive, solution-oriented mindset with a strong sense of ownership and accountability.

About Willis Re

We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.

At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.

The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.

Willis Re will also leverage recognized technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW’s Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.