Data Scientist, Portfolio Risk Management

Recruiter
Confidential
Location
London
Salary
Competitive
Posted
31 Dec 2020
Closes
15 Jan 2021
Employer Sector
Accountancy Practice
Contract Type
Permanent
Hours
Full Time
Travel
None
Data Scientist - Permanent

London

About Us

Lloyd's is the world's leading insurance and reinsurance marketplace. Yet the world is changing, and Lloyd's is changing too - nimbler, faster, and able to offer customers and employees more products, services and insights supported by technology, innovation and the continuing desire to protect people, businesses and communities. Lloyd's is where Data Scientists can now bring their future to life.

The Role

The overall objective of the Data Scientist is to analyse the financial performance of Lloyd's at class of business, syndicate and market level, develop predictive statistical models and techniques to better understand performance and lead the implementation of these new models into the Performance Management teams.

Responsibilities

* Identify and lead opportunities to develop new methods of understanding the key drivers of performance of Lloyd's business

* recommend new tools and methods of analysis to senior managers that can improve the divisions understanding of both past and potential future performance and improve the prudential oversight of the Lloyd's market

* working across multiple teams as required to create working prototypes and proof of concepts for additional data and or new models that provide meaningful insight into underwriting and financial performance

* use strategic tools and techniques for delivering these insights to the business teams in Performance Management, Market Reserving and Capital and Risk that may use these new tools

* working with Digital, IT and Change to manage any projects that are required to implement the data requirements or new models into production

* launch new data, tools and methods of analysis to the relevant business teams

* Provide training and support to users of new models and analysis methods to ensure that underwriting performance tools are understood consistently across the relevant user groups

* Understand the methodologies used in Performance Management for monitoring and predicting performance and support the parameterisation, further development and maintenance with Digital and IT where required E.g. PI pack, Planning Support Tool and On levelling toolset.

* Provide daily operational support to meet Performance Management data output requirements

* Support external presentations as appropriate (eg Ratings Agencies).

* Keeping at the forefront of data analysis, modelling, tools and techniques to ensure that own skills and our methods of modelling and analysis are current and fit for purpose

* Understanding and keeping abreast of trends and performance issues in the wider insurance industry and macro-economic environment to make sure that Lloyd's trends are considered and investigated

Skills

* The role holder will combine the skills of a data analyst, statistician, data modeller and storyteller to extract and communicate insight from data

* Data modelling skills are required in order to manipulate data and undertake advanced statistical analysis

* Creative thinking, the ability to analyse, infer solutions, detect patters in data, problem solve and clearly articulate concepts and cogently recommend solutions, evidence of which might include blog posts, publications, participation in open source projects etc.

* Ability to work with a range of stakeholders to define and shape analytical or modelling requirements and develop and implement solutions to meet business needs.

* Presentation skills, demonstrating the ability to present the results of complex analytical output to a variety of audiences with different levels of technical knowledge and experience

* The ability to create reports, queries and dashboards using Business Objects, Qlik and/or similar reporting tools

* Good time management skills demonstrating an ability to deal with a regular workload and associated deadlines, and other ad-hoc tasks

Knowledge

* Advanced knowledge, understanding and expertise in statistical and machine learning techniques, e.g. multivariate regression, Bayesian inference / networks and generalized linear models etc.

* Advanced knowledge of computer software used to manipulate, analyse and visualise large volumes of data

* Basic to intermediate level knowledge of insurance principles and practices, as well as practices specific to the London/Lloyd's markets

Experience

* An expert in the field of statistical and business analysis

* Expertise with building and querying data sets and statistical software, in particular R and SQL

* Experience in summarising and conveying complex processes and solution to audiences with varying levels of technical knowledge

As the successful candidate, you can expect to be rewarded with a competitive salary, and an enviable range of benefits.

Realise your professional ambitions as part of an organisation that is trusted to solve some of the world's most complex problems in an environment that puts a focus on investing in human progress.

Please be aware that the recruitment process will comprise of a number of steps, your CV will be reviewed by our Recruitment team and if successful you will be invited to attend a telephone interview, followed by a more in-depth video interview. We want to make sure we do all we can to make this a really positive experience for you.

Please click the Clear Talents link on our Workday page which will take you through a simple process to identify any adjustments or additional support we can provide beforehand or on the day.

Please note, clicking on this link does not register your application for the vacancy