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Credit & Surveillance Analyst at Swiss Re – blend credit analysis with data science, safeguard financial strength in Bangalore.
Lead automation, build scalable tools, support senior decision‑making across global insurance.
About the Role:
As a Credit & Surveillance Analyst within our Credit Risk Management (CRM) team, you will play apivotal role in safeguarding Swiss Re's financial strength and reputation. This is not your averagerisk role — you'll blend independent credit analysis with cutting-edge data science techniques tobuild scalable tools, uncover meaningful insights, and support high-stakes decision-making at asenior level. Your work will have real, visible impact across Swiss Re's entire business spectrum.
Key Responsibilities:
- Design and implement quantitative tools to enhance scalability, consistency, and insightgeneration across credit risk assessments
- Apply data science techniques to improve speed, efficiency, and the quality of analyticaloutputs
- Work with complex datasets to extract meaningful patterns and support robust riskdecision-making
- Drive automation initiatives for recurring analyses and reporting processes, freeing upcapacity for higher-value, strategic work
- Perform independent quantitative and qualitative credit risk analysis on individualcounterparties across the global insurance sector
- Develop and deliver well-reasoned ratings and limit recommendations for seniormanagement 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 emergingrisks
- Develop a solid understanding of financial risk calculations associated with key insuranceproducts and effectively communicate methodologies to business units
About the Team:
Credit risk is woven into the fabric of the Swiss Re Group — spanning credit counterparty risksembedded in structured transactions across Property & Casualty and Life & Health reinsurance,Alternative Risk Transfer solutions, Asset Management investment strategies, Credit & Suretyunderwriting activities, and corporate finance operations including custodial, banking, andderivatives counterparties.
The CRM Insurance team is the specialist unit responsible for identifying, measuring, monitoring,and controlling credit default and migration risk on insurance counterparties. We ensure thatSwiss Re's credit risk profile remains transparent to management and appropriately aligned withits risk appetite. Our team members are based across Zurich, New York, Alpharetta, andBangalore, working in close collaboration across time zones to deliver consistent, high-qualityrisk oversight on a global scale.
About You:
You are a quantitatively-minded professional who finds energy in transforming complex data intoclear, actionable insights. You bring proven analytical capabilities alongside strongcommunication skills — able to translate technical findings into compelling businessrecommendations. Naturally curious and detail-oriented, you thrive in collaborative environmentswhere 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 globallyrespected risk management function.
We Are Looking for Candidates Who Meet These Requirements:
- Strong quantitative and analytical background with solid academic credentials in a relevantfield such as Finance, Economics, Mathematics, Statistics, or a related discipline
- Proven hands‑on experience designing and implementing production‑ready analytical toolsor data‑driven frameworks in a business or risk environment
- Advanced programming skills in Python, R, or Power BI, with demonstrated ability to deliverscalable solutions
- 2–5 years of relevant experience in financial risk assessment, data analysis, or relatedfields
- Excellent communication skills with the ability to present complex technical findings clearlyto both technical and non‑technical audiences
These Are Additional Nice to Haves:
- Experience in credit risk assessment, capital markets analysis, or financial institutionscoverage
- 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
Our company has a hybrid work model where the expectation is that you will be in the office atleast 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.