13 Aug
|
WTW External Careers Site
|
Thane
13 Aug
WTW External Careers Site
Thane
About Willis Towers Watson:
Willis Towers Watson (NASDAQ: WTW) is a leading global advisory, broking, and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, Willis Towers Watson has 45,000 employees serving more than 140 countries and markets.
We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective enables us to identify the critical intersections between talent, assets, and ideas — the dynamic formula that drives business performance.
Together, we unlock potential.
About the team:
The Direct and Facultative Data and Analytics team offer a wide range of analytical support to the broking team in order to secure the best results for our clients. Typical analytical support includes data management, catastrophe modelling, exposure management, financial modelling, and bespoke analytics.
The focus of our team is to provide brokers with a deeper understanding of their client's risk from natural and man-made perils such as windstorm, earthquake, severe convective storm, flood and wildfire.
About the role :
In this senior role, you will partner closely with Brokers in the Global Markets Direct & Facultative team to deliver creative casualty analytics, pricing systems and decision-support tools. The Direct & Fac Data and Analytics team provides a broad range of analytical insights, models and technology-enabled solutions to help the broking team achieve the best outcome for the client.
Core analytical support includes data transformation, process automation, predictive modelling, workflow optimisation, dashboarding and development of bespoke analytical tools that improve speed, consistency and scalability across casualty analytics and pricing. The role will initially focus on development of analytical processes, building models and tools, and improving how data is
📌 Senior Data Scientist (Thane)
🏢 WTW External Careers Site
📍 Thane