You'll contribute to the development and maintenance of the Underwriting Performance Monitoring Suite of MI reports, through creation of new Underwriting reports and enhancing existing reporting functionality.
You'll produce and publish BAU reports to agreed regular refresh schedule to ensure timely business decision making.
You'll produce ad-hoc performance monitoring analysis to answer specific business challenges or surface issues/opportunities for action within team or wider pillar.
You'll create and maintain reporting and underlying data models using tools such as Power BI, Databricks, SAS, SQL
You'll ensure reporting requirements are clearly captured from business stakeholders (both within team and across wider business)
You'll maintain MI best practice, including change control process, and adhere to high-quality coding standards and documentation.
You'll ensure Underwriting Management Information is produced with a level of quality to enable accurate business decision making.
You'll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times
You'll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times,
You'll proactively own personal development - researching and learning about new tools, techniques, and data sources which may benefit the team, under the guidance of the Underwriting MI Manager

Are you confident working with data and turning it into meaningful insights? Do you have a background in a numerical subject, strong analytical skills, and experience using tools like Power BI?, Academic Background: Minimum 2:1 degree in a numerical discipline such as Mathematics, Statistics, Economics, Data Science, Actuarial Science, Physics, Engineering, or a related field.
Analytical & Problem-Solving Skills: Strong numerical and analytical ability, with a logical approach to problem-solving and the ability to interpret complex data and identify meaningful insights.
Technical Skills: Strong IT and analytical skills, including proficiency in Excel and SQL. Experience with Power BI, or a similar data visualisation platform, is highly desirable. Exposure to Databricks would be advantageous but is not essential.
Data Analysis & Reporting: Experience in data modelling, analysis, and reporting, with the ability to translate data into clear, actionable insights and communicate findings effectively to a range of audiences.
Attention to Detail: High levels of accuracy and attention to detail, with a commitment to producing reliable and robust analysis.
Learning Agility: A proactive and curious approach to learning, with the ability to quickly develop new skills, knowledge, and technical expertise., Experience in use of data visualisation tools such as Power BI
Knowledge of DAX and Power Query (M) desirable
Experience with analytical programming languages and packages, such as Databricks, SAS, SQL
Understanding of data analysis principles
Knowledge of personal lines general insurance preferred
Strong commercial acumen.
Minimum 2:1 in a numerical undergraduate discipline
Strong mathematical skills
Good time management and organisation
Strong problem-solving mindset, with the ability to adopt a logical approach to solving problems
Data and statistical analysis skills preferred
Strong IT skills (including ideally Excel, programming and data visualisation skills)
Good communication skills, both verbal and written
Logical thinker with solid reasoning ability
Emphasis on attention to detail and accuracy
Quick learner
Aligned to the values of Ambition; Agility; Ownership; Collaboration
Self-motivated and enthusiastic
An organised and proactive approach
Ability to work on own initiative and as part of a team
A flexible approach and positive attitude
Strives to drive business improvements to contribute to the success of the business

3 1st Central jobs in England & Wales