Data Scientist
Lloyd’s is the world’s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market’s brightest minds, working together for a braver world.
Our role is to inspire courage, so tomorrow’s progress isn’t limited by today’s risks.
Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that’s more sustainable, resilient and inclusive, you’ll find a home at Lloyd’s – build a braver future with us.
Lloyd’s are seeking to recruit a Data Scientist to analyse the performance of Lloyd's at class of business, syndicate and market level by creating dashboards and developing predictive models and machine learning techniques and support other teams to improve analytics in Market Reserving and Capital.
The Corporation of Lloyd’s oversees and provides services to support the Lloyd’s market and promotes Lloyd’s around the world. Market Reserving & Capital (MRC) is the actuarial department in the Corporation and is responsible for market oversight as regards monitoring the adequacy of reserves and capital at syndicate level, and for the calculation of capital requirements for members and the Central Fund. The responsibilities of MRC require analytics to be used on our data to support syndicate oversight and feed other departments.
Principal Accountabilities required of the Data Scientist
- Review and validation of data returns received by Lloyd’s
- Support the delivery of predictive analytics to provide insights on reserves, capital and the key drivers of underwriting performance.
- Use strategic tools and techniques for delivering insights to the business teams in Market Reserving and Capital, Finance, Markets and Risk
- Work with Operations and IT to manage projects to implement the new models into production
- Support the implementation of best practice actuarial modelling techniques and processes (including machine learning) throughout MRC.
- Recommend new tools and methods of analysis that can improve the understanding of both past and potential future performance and improve the prudential oversight of the Lloyd’s market
- Understand and highlight any material modelling risks to key stakeholders
- Assist in the development of new methods to enhance understanding of the key drivers of performance and predict future performance of Lloyd’s business
- Deploy new tools and methods of analysis to the relevant business teams
- Provide training and support to users of new models and techniques to ensure that tools are understood consistently across the relevant user groups
- Keep at the forefront of data science and machine learning tools and techniques to ensure that own skills and our methods of modelling and analysis are current and fit for purpose
- Present results of analysis to a variety of audiences, both internal and external, with differing levels of experience and knowledge of both data science and insurance
- Act as a champion for machine learning and predictive analytics in the Market Reserving and Capital team at Lloyd’s, including providing training and sharing knowledge in formal and informal ways
- Assist the wider Predictive Analytics team to improve the efficiency and reliability of the data capabilities within the team by developing and enhancing systems, processes, and reporting. This role will primarily focus on the systems that support the Market Reserving and Capital team
- Develop and enhance MRC reports and processes
- Provide wider support for the business
Skills and Knowledge required of the Data Scientist
- Coding skills include Python, R, VBA
- Track record of high quality output based on independent definition of tasks that is checked against internal and external information. Proactively propose appropriate deadlines for delivery
- Experience managing project work to ensure coordinated delivery of output
- Undertake and direct detailed technical analysis with minimal guidance provided on output required. Design implementations of analysis to address specific questions
- Ability to communication of complex areas in a way that is targeted and appropriate to the audience
- Experience of developing strong working relationships and contributes positively to the atmosphere of the team. Provides assurance and recognition to other team members
- Mathematical, actuarial or computer-science background
- Other professional qualifications
Diversity and inclusion are a focus for us – Lloyd’s aim is to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development.
We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education & development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.
By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.
NO AGENCIES PLEASE
JOB REF: AWDO-P12070
This job is being advertised by AWD online on behalf of Lloyd’s
Data Scientist | Data Analyst | Analysis | Computer Science | Market Reserving & Capital | Predictive Analytics | Insurance | Reinsurance | Modelling | Coding | Python | R | VBA | Mathematical | Actuarial