Ensure that Exco and Business Unit Heads have access to trusted, governed and actionable information to support operational, tactical and strategic decision-making. Work closely with peers in the Pricing, Data Engineering and Data Governance teams to implement and maintain the organisations Enterprise Data and Analytics Platform while establishing standards for self-service analytics and generating business insights.
Manage stakeholder expectations and foster collaborative relationships
Align reporting capabilities with business strategy
Drive enterprise adoption of data-driven decision-making
Analyse and interpret business intelligence and communicate conclusions to business stakeholders
Support and participate in portfolio management and performance assessment against KPIs
Identify and develop machine learning and AI use cases, build organisational support for proposed solutions and drive their successful implement within the business.
Plan, prioritise and manage your team’s work within SLA and capacity
Ensure reporting accuracy and consistency
Maintain enterprise KPI definitions and metric governance
Establish trusted data assets for reporting and analytics
Support audit and regulatory requirements
Maintain modelling minimum standards and drive your team and processes towards best practice
Recruit new staff and ensure their systematic training and development
Manage performance and take corrective action when required
Provide appropriate leadership to staff and reinforce company culture
Postgraduate qualification in Actuarial Science, Mathematics, Statistics, Computer Science or similar Other relevant qualifications, courses and training an advantage Min 6 years analytics experience preferably in non-life insurance Experience in leading analytics teams Experience providing insights and recommendations to senior management Experience in machine learning bet practice Experience at prioritizing, resourcing and planning Ability to manage diverse work portfolio and team Demonstrate ability to collaborate effectively across functions and influence outside of own function Accomplished Python, SQL and PowerBI user, with proven ability to reconcile administration and claims transaction data to financials Accomplished Microsoft Office user, effective Power Point presenter Proficient with Python packages for data visualisation and machine learning e.g. Pandas, Seaborn, Plotly, Scikit-learn, XGBoost, PyTorch an advantage Accomplished analytics specialist with exposure to data catalogues, business glossaries, data quality frameworks and stewardship models Office and project management experience Familiarity with non-life insurance pricing and portfolio management best practice an advantage