Willis Towers Watson: Data Scientist – Financial Services
Seeking a Data Scientist with a passion for delivering innovative analytical solutions. You will deliver high quality work for our broad set of UK clients, working on projects including behavioural modelling, price optimisation, financial risk modelling and big data analytics.
Company: Willis Towers Watson
Location: Reigate, Surrey – UK
Position: Data Scientist – Financial Services
Investment, Risk and Reinsurance
Willis Towers Watson's insurance consulting business works with major insurers and other financial services companies around the world on issues that range from economic capital and regulatory change to the intricacies of hedging and other forms of asset-liability management. Applying deep analytical skills and cutting edge machine learning techniques, we help our clients:
- Identify and deploy the metrics and methodologies that will meet their risk and capital management needs
- Solve practical business problems, applying the latest techniques and software solutions to help grow revenue and create competitive advantage
- Foresee and avoid major losses, enhance risk-adjusted returns, and establish and meet strategic objectives
We are searching for a Data Scientist with a passion for delivering innovative analytical solutions
You will deliver high quality work for our broad set of UK clients, working on projects including behavioural modelling, price optimisation, financial risk modelling and big data analytics.
You will join a team that works with a huge variety of leading financial institutions across the world, including almost all of the top UK insurers as well as intermediaries, data and software houses and other financial and non-financial organisations.
You will have immediate exposure to real client assignments which will draw on your imagination and creativity as well as your ability to analyse data, draw insight and present results. These experiences will help build on your technical knowledge as well as deliver high profile projects to household name clients.
- Masters or PhD in a quantitative field (e.g. maths, statistics, MORSE, data science)
- Experience of machine learning techniques (e.g. regression models, clustering, random forests, GBMs, SVMs, neural networks etc.)
- Proficient with analytical tools like R, Python, H2O etc.
- Proficiency in data manipulation and preparation
- Ability to present effectively to internal stakeholders and external clients and explain how data science can make a meaningful impact to businesses
- Ability to explain complex questions in a straightforward way to a non-technical audience
- Experience of applying predictive analytics to insurance and other financial service data
Willis Towers Watson is an equal opportunities employer and does not discriminate on any basis. We support flexible working and this role will be considered on a flexible basis
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 39,000 employees in more than 120 territories. 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. Unlock your potential at Willis Towers Watson.
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