Credit Risk Analyst

🕒 March 2

🏢🏡 New York City – Hybrid

💵 $100k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

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Swiss Re

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💰 Post-IPO Debt on 2023-03

Insurance • Finance • Reinsurance

Swiss Re is a leading global reinsurance company that provides insurance-based risk transfer solutions. With a commitment to innovation and financial stability, Swiss Re helps clients navigate various risks, including life, health, and property. The company aims to enhance the sustainability and resilience of societies by offering reinsurance, insurance, and related services, ensuring businesses can thrive amid uncertainties.

📋 Description

• Perform independent quantitative and qualitative credit risk analysis on individual counterparties across diverse sectors (e.g., banks, sovereigns, supranationals) and geographies • Develop and deliver 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 stakeholders on emerging risks • Design and implement quantitative tools to enhance scalability, consistency, and insight generation across credit risk assessments • Apply data science techniques to improve speed, scalability, and insight generation • Work with complex datasets to extract meaningful patterns and support risk decision-making • Drive automation initiatives for recurring analyses and reporting processes

🎯 Requirements

• Strong quantitative and analytical background with solid academic credentials in a relevant field (Finance, Economics, Mathematics, Statistics, or similar) • 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 • 4-7 years of relevant experience in financial risk assessment, data analysis, or related fields • Experience in credit risk assessment, capital markets analysis, or financial institutions • Knowledge of credit rating methodologies and risk assessment frameworks • Familiarity with financial statement analysis and credit modeling techniques • Experience working in a global or matrix organization • Professional certifications such as FRM, CFA, or similar

🏖️ Benefits

• Professional development opportunities • Flexible work arrangements