Data & Science Consultant

We know how companies can unlock potential through effective risk management.  Our clients rely on us to craft strategies to quantify, mitigate, and transfer risk, taking advantage of our specialist industry experience and unparalleled market know-how. The result is a new way of embracing risk that drives superior results. 

The goal of the Alternative Risk Transfer Solutions team is to design and deliver tailored risk financing solutions that respond to the needs and strategy of large and sophisticated clients. These solutions will help clients to de-risk their business and improve their profitability, financial stability and capital efficiency, by more effectively managing or transferring risks for which traditional insurance markets do not respond appropriately

ART Solutions is part of Risk & Analytics, a division of Corporate Risk & Broking. R&A is a global team of more than 200 people. The ART Solutions team is a global team of 15 colleagues located in London, Paris, New York and Hong Kong.

The London team’s main focus is in structuring and placing parametric programmes, most typically related to weather or natural perils.

Working in a small team you will be researching the availability and functionality of data sets that can be used in the development of new parametric solutions to address client needs. Such data might include satellite images, reanalysis model output, or station observations of perils such as tropical cyclones or wildfires. You should be comfortable analysing data with Python, R, GitHub, and using APIs. The role will involve supporting both our London team and our global teams.

You will need to have exceptionally strong coding skills, data analytics, and the ability to clearly articulate complex concepts to colleagues and clients. 

The role will include, to a lesser degree, client liaison, business development, solution structuring, and liaison with technical teams of partner insurers, reinsurers and other risk carriers.

Requirements

Qualifications: 

Necessary

• BSc degree (or equivalent) in Science, Technology, Engineering or Mathematics.

Ideal

• Previous experience with working on problems related natural hazards.
• 1-2 years of experience in the insurance or financial industry, or further related academic experience.

Skills:

Necessary 

• Proficiency in Python or R.
• Proficiency in using GitHub for version control and collaboration. 
• Proficiency in geospatial mapping (e.g. QGIS).
• Inquisitive, adaptable and able to work independently.
• Excellent communications skills (both verbally and written).
• The ability to break down a project and develop code to solve complicated problems without a known solution.

Ideal

• Previous experience working in an insurance or financial services environment.
• Strong data analytics and quantitative skills.
• An appreciation of how to apply statistical methods to real data (e.g. data cleaning, correlation analysis, Monte Carlo modelling).
• Proficiency in MS Office (Excel, Word and PowerPoint).

The Company

Willis Towers Watson 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 40,000 employees serving more than 140 countries. 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 allows us to see the critical intersections between talent, assets and ideas – the dynamic formula that drives business performance. Together, we unlock potential. Learn more at willistowerswatson.com.

Willis Towers Watson is an equal opportunity employer

Willis Towers Watson believes that effectively managing a diverse workforce is vital to our business strategy. We have an obligation to our organization, ourselves and our clients to hire and develop the best people we can find. We will continually review our policies and practices to ensure that all areas of the employment process (including recruiting, hiring, work assignments, compensation, benefits, promotions, transfers, company-sponsored development programs and overall workplace experience) are free from discriminatory practices. We are committed to equal employment opportunities at Willis Towers Watson.