Head of Analytics and Advanced Modelling

**Introduction**Disclaimer**
- As an applicant, please verify the legitimacy of this job advert on our company career page.**Role Purpose**Requirements**:

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Educational Background**:

- Qualified or nearly qualified actuary with successful completion of at least F103 General Insurance Principles exam.
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Technical Expertise**:

- Minimum of 8 years of experience in the non-life insurance industry.
- Proficiency in IGLOO/Remetrica software is highly desirable.
- Expertise in exposure and aggregation modelling and monitoring.

**Duties & Responsibilities**
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Leadership & Strategy**:

- Lead the analytics and advanced modelling team, providing strategic direction and fostering a culture of innovation and excellence.
- Oversee the development and implementation of advanced analytical models to support underwriting, pricing, risk management, and strategic decision-making.
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Capital Modelling**:

- Guide the team in using capital modelling software to perform sophisticated analyses on the economic impact of structures and products.
- Ensure the team provides insights on capital efficiency and risk transfer solutions.
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Underwriting Analytics**:

- Lead the development of advanced statistical and predictive models for risk assessment.
- Guide the continuous improvement and refinement of models based on new data and emerging market trends.
- Collaborate with the pricing team to translate model outputs into effective and competitive pricing strategies.
- Implement processes for ongoing monitoring, validation, and recalibration of models to maintain accuracy.
- Utilize data-driven insights to optimize portfolio management, ensuring balanced risk and profitability.
- Lead the delivery of real-time data analysis and risk assessments to underwriters.
- Guide the development of tools and dashboards that provide underwriters with accessible and actionable insights.
- Lead training initiatives to enhance underwriters' understanding of model outputs and analytical tools.
- Incorporate feedback from underwriters to refine analytical models and tools, ensuring they meet evolving business needs.
- Support the development of strategies that enhance risk selection, pricing accuracy, and overall underwriting performance.
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Reinsurance Optimization**:

- Lead the team in conducting in-depth analysis of reinsurance treaties, structures, and financial impacts to assist the reinsurance team in obtaining optimal reinsurance structures from both an economic capital and regulatory capital perspective.
- Ensure the team supports the design and optimization of reinsurance programs to meet strategic objectives.
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Climate Modelling**:

- Oversee the development and refinement of climate models to assess the impact of climate change on the company's risk portfolio.
- Ensure climate modelling insights are integrated into overall risk management and business strategy.
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Exposure and Aggregation Modelling**:

- Lead the team in developing and implementing exposure and aggregation models to monitor and manage the company’s risk exposure.
- Ensure regular monitoring and reporting on risk aggregation to support risk management strategies.
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Stakeholder Engagement**:

- Collaborate with senior management, underwriters, and other stakeholders to communicate analytical findings and influence business decisions.
- Lead the presentation of complex analytical concepts in a clear and concise manner to non-technical audiences, including clients and partners.
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Regulatory & Compliance**:

- Ensure all models and analytical processes comply with relevant regulatory requirements and professional standards.
- Keep the team abreast of emerging regulatory changes and industry trends.

**Competencies**
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Analytical Skills**:

- Exceptional analytical and problem-solving skills, with the ability to oversee the development and interpretation of complex models.
- Proven track record of using data-driven insights to influence business strategies and outcomes.
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Leadership & Communication**:

- Demonstrated leadership experience, with the ability to mentor and develop a high-performing team.
- Excellent communication and interpersonal skills, with the ability to convey complex information effectively to internal stakeholders and clients.
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Industry Knowledge**:

- In-depth understanding of reinsurance markets, structures, and optimization techniques.
- Awareness of current trends and developments in the non-life insurance sector.