Head of Catastrophe Analytics

**Dimensions Size of operation Business Scope
**Purpose & Accountability**
- To be a leader in the CAEM team, delivering an advanced catastrophe analytics, tool development and model evaluation capability in respect of all relevant entities managed by TMK:
a) to the Underwriting teams to support them in risk assessment, pricing, portfolio management and controlling the assumption of exposure and;
b) to the management of TMK, Actuarial and Risk teams regarding portfolio management, capital setting and capital utilisation.
- To lead CAEM’s catastrophe analytics offering, providing input and insight from the licenced catastrophe models as well as other relevant software, tools and techniques to key stakeholders including TMK’s Underwriting, Actuarial and Risk Management teams
- To lead the development of a catastrophe analytics capability in Singapore to align with TMK’s global operations, supporting the underwriters to develop advanced analytics solutions for catastrophe pricing, portfolio management, view of risk and exposure management
- To be the key senior leader and technical expert in CAEM for advanced analytical techniques and in-depth understanding of the catastrophe models for material peril regions
- To maintain and enhance TMK’s Natural Catastrophe view of risk, including leadership of Nat Cat model evaluation exercises
- To oversee Nat Cat development work, including Nat Cat analytical tools as well providing support/resource to assist with catastrophe modelling process enhancements
- To collaborate with other teams as required (for example Underwriting and Actuarial) for wider strategic projects requiring catastrophe modelling/analytics input and insight
- Champion the company values and work in accordance with the organisational behaviours.
- To support the promotion of TMK’s brand and expertise by participating in regulator and industry association led Nat Cat development initiatives, speaking at industry events, and contributing to relevant publications.
- To be aware of and comply with the relevant rules and regulations in relation to financial crime and conduct.

**Principal Accountabilities**

**The role includes responsibility for**:

- Oversight of catastrophe analytics tool development across CAEM to provide pre and post-bind analytics to underwriters, for example hazard scoring tools
- Leadership and development of CAEM’s Model Evaluation Framework, with oversight of model evaluation exercises relating to new models and updates to existing models
- To maintain and enhance TMK’s Natural Catastrophe view of risk, including allowance for climate change and other emerging risks
- Development of product specific catastrophe modelling and pricing tools to assist underwriters with pricing and underwriting new natural catastrophe-focused product lines, for example automated hazard lookup and loss cost models
- Development of portfolio management techniques for natural catastrophe-focused lines of business, including portfolio optimisation against key business constraints and financial targets
- Exploring third party catastrophe models and related analytical solutions to enhance and support TMK’s underwriting, portfolio management and exposure management
- Managing the Catastrophe Analytics & Development team within CAEM, including responsibility for project management, deliverables and development of staff, as well as working with the Head of CAEM to ensure appropriate resourcing and prioritisation of work
- Working with the Head of Natural Catastrophe Modelling and Head of Catastrophe Modelling Development to automate and enhance core catastrophe modelling processes, including integration between CAEM and other teams’ systems
- Production and presentation of reports to relevant stakeholders and committees relating to catastrophe analytics, portfolio optimisation and model evaluation.

**Technical Capabilities**
- Comprehensive knowledge of the global (re)insurance industry in which TMK operates, specifically the London Market, Asia market and the US wholesale property market
- Deep technical understanding of the event, hazard, vulnerability and financial modules within proprietary natural catastrophe models, including a good understanding of the mathematical methodologies utilised by RMS
- Advanced mathematical and analytical capabilities including a deep understanding of relevant actuarial and data science techniques relating to catastrophe and exposure-based pricing and capital modelling
- Expertise in relevant programming languages, including R, Python, SQL and VBA is highly desirable
- Detailed knowledge of SQL coding and database structure, including RMS schemas, highly desirable
- Job and Business Knowledge - Having specific knowledge on one’s own job and about policies and procedures. Maintaining up to date knowledge and awareness of catastrophe modelling software and database management techniques.
- Planning and Organising - Establishing plans and follow-ups. The a