Credit & Surveillance Analyst

Job Summary

As a Credit Surveillance Analyst within our Credit Risk Management (CRM) team, you will play a pivotal role in safeguarding Swiss Res financial strength and reputation. This is not your average risk role - you\'ll blend independent credit analysis with cutting-edge data science techniques to build scalable tools, uncover meaningful insights, and support high-stakes decision-making at a senior level. Your work will have real, visible impact across Swiss Res entire business spectrum.

Key Responsibilities

• Design and implement quantitative tools to enhance scalability, consistency, and insight generation across credit risk assessments
• Apply data science techniques to improve speed, efficiency, and the quality of analytical outputs
• Work with complex datasets to extract meaningful patterns and support robust risk decision-making
• Drive automation initiatives for recurring analyses and reporting processes, freeing up capacity for higher-value, strategic work
• Perform independent quantitative and qualitative credit risk analysis on individual counterparties across the global insurance sector
• Develop and deliver well-reasoned ratings and limit recommendations for senior management decision-making
• Create concise, decision-oriented analysis on complex credit exposures and transaction-related risk assessments
• Monitor credit developments and engage proactively with internal stakeholders on emerging risks
• Develop a solid understanding of financial risk calculations associated with key insurance products and effectively communicate methodologies to business units

About You

You are a quantitatively-minded professional who finds energy in transforming complex data into clear, actionable insights. You bring proven analytical capabilities alongside strong communication skills - able to translate technical findings into compelling business recommendations. Naturally curious and detail-oriented, you thrive in collaborative environments where your work has real, visible impact. You approach challenges with intellectual rigor, embrace continuous learning, and are energized by the opportunity to contribute to a globally respected risk management function.

Requirements

• Strong quantitative and analytical background with solid academic credentials in a relevant field such as Finance, Economics, Mathematics, Statistics, or a related discipline
• Proven hands-on experience designing and implementing production-ready analytical tools or data-driven frameworks in a business or risk environment
• Advanced programming skills in Python, R, or Power BI, with demonstrated ability to deliver scalable solutions
• 2-5 years of relevant experience in financial risk assessment, data analysis, or related fields
• Excellent communication skills with the ability to present complex technical findings clearly to both technical and non-technical audiences

Nice to Haves

• Experience in credit risk assessment, capital markets analysis, or financial institutions coverage
• Knowledge of credit rating methodologies and risk assessment frameworks
• Familiarity with financial statement analysis and credit modeling techniques
• Experience working within a global or matrix organization
• Professional certifications such as FRM, CFA, or similar

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