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Quantitative Risk Modeller - Job Opportunity at Zurich Insurance

Zürich, Switzerland
Full-time
Entry-level
Posted: April 23, 2025
Hybrid
CHF 85,000 - 95,000 per year based on Zürich market rates for entry-level quantitative roles in financial services

Benefits

Hybrid work arrangement with 2 days remote per week
Modern workplace at Quai Zurich Campus
Collaborative culture with emphasis on face-to-face interactions
Flexible working arrangements

Key Responsibilities

Development and validation of risk models for Swiss Solvency Test (SST) and Solvency II
Analysis and reporting of model results with enterprise-wide impact
Support of strategic modeling projects affecting group-level decision making
Implementation of validation tools and execution of validation tests
Documentation and maintenance of high-impact financial models

Requirements

Education

Master degree in Mathematics, Statistics, Actuarial Science, Quantitative Finance or other related fields or PhD

Experience

New graduate or up to 1 year of relevant experience

Required Skills

Strong statistical, data modelling and programming skills (R and/or Python) Strong analytical and critical thinking skills Strong communication and relationship building capabilities Fluent written and spoken English

Certifications

Actuarial qualification (pursuing or planning to pursue) preferred
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Sauge AI Market Intelligence

Industry Trends

Insurance industry is experiencing rapid digitalization with increased focus on sophisticated risk modeling capabilities Growing regulatory demands for more robust solvency testing and risk assessment frameworks Rising importance of data-driven decision making in insurance pricing and underwriting Increasing integration of machine learning and AI in traditional actuarial modeling

Role Significance

Likely part of a specialized team of 5-8 professionals within the broader Group Risk Management function
Entry-level position with direct impact on group-level risk management decisions and regulatory compliance

Key Projects

Regulatory compliance modeling for SST and Solvency II Development of pricing and underwriting models Implementation of validation frameworks for financial impact assessment Strategic risk assessment projects

Success Factors

Strong foundation in statistical modeling and programming Ability to translate complex mathematical concepts into business insights Excellent communication skills to work with diverse stakeholders Detail-oriented approach with strong validation capabilities

Market Demand

High demand with growing need for quantitative skills in insurance sector, particularly in European markets with complex regulatory requirements

Important Skills

Critical Skills

Statistical modeling and programming skills are essential for developing and validating risk models Communication skills are crucial for translating technical results to business stakeholders Mathematical and analytical capabilities are fundamental for understanding complex insurance risks

Beneficial Skills

Knowledge of insurance industry regulatory frameworks Experience with machine learning applications in finance Understanding of actuarial principles and practices

Unique Aspects

Opportunity to work on models affecting group-level decisions
Exposure to both Swiss and EU regulatory frameworks
Modern campus environment with hybrid working model
Strong support for professional development and actuarial qualifications

Career Growth

2-3 years in current role before progression to senior level, with actuarial qualification potentially accelerating advancement

Potential Next Roles

Senior Quantitative Risk Modeller Risk Manager Actuarial Manager Quantitative Research Lead

Company Overview

Zurich Insurance

Leading global insurance provider with strong presence in European markets and emphasis on technological innovation

Among top 3 insurance providers globally with strong financial stability and investment in digital transformation
Significant presence in Swiss market with Zürich serving as global headquarters
Professional environment with strong emphasis on collaboration, innovation, and work-life balance
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