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Cat Data and Tools Analyst (6 month contract) - Job Opportunity at PartnerRe

Zurich, Switzerland
Contract
Mid-level
Posted: May 26, 2025
Hybrid
CHF 85,000 - 110,000 annually (approximately USD 95,000 - 125,000), considering this is a specialized contract role in Zurich's high-cost financial district, requiring advanced technical skills in a niche field of catastrophe analytics. Contract rates typically command 15-25% premium over permanent positions.

Benefits

Opportunity to work with a financially stable global reinsurer with strong market reputation
Access to cutting-edge catastrophe modeling and risk assessment technologies
Professional development in specialized natural catastrophe analytics field
Collaborative international work environment with global team connectivity
Hybrid working arrangements providing flexibility and work-life balance
Exposure to high-impact projects affecting global risk management decisions

Key Responsibilities

Lead enhancement of critical reporting dashboards that drive multi-million dollar underwriting decisions and portfolio optimization strategies
Architect the digital transformation of legacy Excel-based reporting systems into modern R Shiny dashboards, improving operational efficiency across the catastrophe underwriting division
Develop automated report generation capabilities through R Markdown, reducing manual processing time and enhancing data accuracy for risk assessment
Drive innovation in catastrophe risk analytics by implementing advanced data visualization tools that support strategic business decisions
Collaborate with IT teams to integrate sophisticated analytical applications that enhance the company's competitive position in natural catastrophe modeling

Requirements

Education

Master degree in computer science, data science, natural sciences (Climatology, Hydrology, Seismology, or similar), or a related quantitative field

Experience

Not specified

Required Skills

Strong programming skills in R or Python Knowledge in databases (e.g., SQL or Snowflake) Knowledge of R Shiny and R Markdown is a plus Interest in data manipulation and data visualization Strong analytical and problem-solving skills Pro-active, solution oriented with a high level of self initiative Ability to work well in a team and to contribute towards common goals Proficient (written and verbal) in English
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Sauge AI Market Intelligence

Industry Trends

The reinsurance industry is experiencing significant digital transformation driven by climate change risks and increasing frequency of natural disasters, creating high demand for advanced catastrophe modeling and analytics capabilities. Companies are investing heavily in modernizing their risk assessment technologies to maintain competitive advantage and regulatory compliance. There is a growing emphasis on real-time data analytics and automated reporting systems in the insurance sector, as traditional Excel-based processes are being replaced by sophisticated dashboard solutions and cloud-based analytics platforms to improve decision-making speed and accuracy. The convergence of climate science and financial risk modeling is creating new specialized roles that combine domain expertise in natural sciences with advanced data analytics skills, particularly in major financial centers like Zurich where reinsurance companies are headquartered.

Role Significance

Typically part of a 5-8 person specialized catastrophe analytics team within a larger underwriting division, with direct collaboration with IT teams and reporting to senior catastrophe modeling managers or directors.
This is a mid-level specialized analyst position with significant technical responsibility but operating within established frameworks. The role involves independent project execution and system development while working under senior team guidance, indicating a position suitable for professionals with 3-5 years of relevant experience.

Key Projects

Implementation of enterprise-wide risk dashboard systems that integrate multiple data sources and provide real-time portfolio monitoring capabilities Development of automated regulatory reporting systems that ensure compliance with international solvency and risk management requirements Creation of advanced data visualization tools for executive decision-making regarding catastrophe exposure limits and pricing strategies

Success Factors

Demonstrated ability to translate complex business requirements into technical solutions that enhance operational efficiency and decision-making capabilities Strong project management skills to deliver system enhancements within tight deadlines while maintaining high quality standards in a regulated financial environment Excellent communication abilities to bridge the gap between technical development teams and business stakeholders with varying levels of technical expertise Adaptability to work effectively in a fast-paced international environment where catastrophe events require rapid response and analysis capabilities

Market Demand

High demand driven by climate change impact on insurance industry and digital transformation initiatives. The specialized nature of catastrophe analytics combined with strong technical requirements creates competitive market conditions for qualified candidates.

Important Skills

Critical Skills

Advanced R programming skills are essential as the primary development platform for analytics and dashboard creation, requiring proficiency in data manipulation, statistical analysis, and application development within the R ecosystem Database management and SQL expertise are crucial for handling large-scale catastrophe risk data sets and integrating multiple data sources to support comprehensive risk assessment and reporting capabilities Strong analytical thinking and problem-solving abilities are fundamental for translating complex business requirements into technical solutions while ensuring accuracy and efficiency in high-stakes risk assessment environments

Beneficial Skills

Knowledge of additional programming languages like Python enhances versatility and enables integration with broader analytics ecosystems and machine learning frameworks commonly used in modern risk assessment Understanding of climate science concepts and natural disaster modeling provides valuable domain expertise that distinguishes candidates in the specialized field of catastrophe risk analytics Experience with cloud platforms and modern data architecture supports the industry's ongoing digital transformation and positions professionals for leadership roles in technology-driven risk management initiatives

Unique Aspects

Opportunity to work at the intersection of climate science and financial risk management, applying advanced analytics to address some of the most pressing challenges facing the global insurance industry
Direct involvement in developing tools that influence multi-billion dollar risk assessment decisions and have tangible impact on communities recovering from natural disasters worldwide
Access to proprietary catastrophe modeling data and cutting-edge risk assessment technologies that are not available in most other industries or academic settings
Chance to contribute to the digital transformation of a traditional industry while working with international teams of experts in both technical and domain-specific areas

Career Growth

Career progression typically occurs within 2-3 years for high-performing analysts, with opportunities for rapid advancement given the specialized nature of the field and high industry demand for experienced professionals.

Potential Next Roles

Senior Catastrophe Risk Analyst with expanded portfolio management responsibilities and client-facing activities Catastrophe Modeling Manager overseeing multiple analytics projects and leading technical teams Risk Technology Consultant specializing in implementing catastrophe analytics solutions across different reinsurance companies Product Manager for catastrophe risk assessment tools and platforms

Company Overview

PartnerRe

PartnerRe is a well-established global reinsurance company with a strong reputation for financial stability and innovation in risk management. As a privately-owned entity, the company has the flexibility to make strategic investments in technology and talent while maintaining focus on long-term sustainable growth rather than short-term market pressures.

Recognized as a leading player in the global reinsurance market with particular strength in catastrophe risk assessment and modeling. The company's emphasis on technology and analytics positions it competitively against larger publicly-traded reinsurers and emerging insurtech companies.
Zurich office serves as a key European hub for the company's catastrophe underwriting operations, benefiting from Switzerland's position as a global reinsurance center and providing access to top-tier talent in both finance and natural sciences from leading European universities.
International collaborative environment that values technical excellence and innovation, with emphasis on professional development and cross-functional teamwork. The company's commitment to integrity and straightforward communication creates a supportive atmosphere for technical professionals to advance their careers.
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