Risk Analyst

About the role:

As a Credit & Surveillance Analyst within our Credit Risk Management (CRM) team, you will play a pivotal role in safeguarding Swiss Re's 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 Re's entire business spectrum.

Key responsibilites:

- 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 banking credit risk products and effectively communicate methodologies to business units

About the team:

The Political, Country & Financial Institutions Credit Risk Management team is responsible for independently assessing, monitoring, and controlling country, sovereign, financial institution, and political risks across the Group. Our responsibilities include evaluating sovereign creditworthiness and banking sector resilience, assessing financial institution counterparties, monitoring country-level credit risk accumulations, and establishing appropriate credit ratings, risk limits, and risk management actions. We also assess political risks arising from geopolitical tensions, government instability, policy changes, and conflicts, providing forward-looking insights into developments that could affect Swiss Re's exposures and business activities.

Through comprehensive risk assessments, portfolio reviews, stress testing, and ongoing monitoring, we support informed risk-taking decisions, safeguard Swiss Re's financial resilience, and ensure that exposures remain aligned with the Group's risk appetite.

Our team members are based across Zurich, New York, and Bangalore, collaborating globally to deliver consistent, independent, and forward-looking risk oversight.

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.

We Are Looking for Candidates Who Meet These 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

These Are Additional 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 modelling techniques

- Experience working within a global or matrix organization

- Professional certifications such as FRM, CFA, or similar

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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