Scope
Reporting to the Ibott Senior Data Scientist and working closely with the Ibott Actuaries and Underwriters, this roleholder will drive forward the data capabilities of the Ibott SPA 1971.
Conduct Standards
• Acting with integrity
• Acting with due skill, care and diligence
• Be open and co-operative with Lloyd’s, the FCA, the PRA and other regulators
Responsibilities
• Responsibility for the development of accurate, relevant and timely MI to provide insight about and to clients .
• Develop and maintain the Ibott master data databases
• Review of existing data structure and suggestions for best set up going forward
• Reconciliation of data sources
• Assist the Ibott actuaries and underwriters in pricing risks and analysing performance of clients either on a pre-bind basis or as part of post-bind review.
• Work with Ibott clients to build and implement data capture solutions which can operate at scale
• Source and analyse external data to allow for better insights at greater granularities
• Maximise value of data collected from clients and external data to improve understanding of risk
• Research technologies, data sources & methodologies & invest time to embed these in regular processes to keep Ibott innovative
• Knowledge sharing with the BI team, and the wider business
Management
• Openness, integrity and professionalism with all Apollo staff and whenever representing Apollo to third parties
Apollo Values
At Apollo we have the following values and all employees should consider these in their day to day roles:
• Innovation in ideas and actions
• Agile and flexible working
• Two way honest and respectful feedback
• Being professional and respectful
• Taking responsibility for our impact on others
• Support, collaboration and inclusivity
Essential / Desirable Skills & Attributes
Essential
• Educated to degree level in a mathematical subject or 2+ years relevant data analytics work experience
• Experience in data analytics with the ability to analyse and synthesise information from large volumes of data
• Highly proficient user of Excel
• Some experience of another coding language: SQL (or similar), Python, R, VBA
• Familiarity with data visualisation tools: Power BI or equivalent
• Ability to communicate complex information in simple terms
• Demonstrable problem solving and creative skills with great attention to detail
• Ability to work in a dynamic, fast-paced environment
• Curious with a committed to self-development and a passion about challenging the status quo
Desirable
• Experience in the insurance industry, preferably in the Lloyd’s Market
• Understanding or interest in data science and machine learning techniques
• Commercially minded
• Partnering mentality with the ability to build strong working relationships with peers, underwriters and other business areas
• Knowledge of current economic and professional technical trends and issues
• Adaptable to strategic business and market shifts