Credit & Surveillance Analyst (Financial Risk)

Location: Bangalore, Karnataka, India; hybrid work with at least three days per week in the office

Company

hirify.global provides reinsurance, insurance, and insurance-based risk transfer solutions across Property & Casualty and Life & Health.

What you will do

• Design and implement quantitative tools and data-driven frameworks for scalable credit risk assessments.
• Apply data science techniques and automate recurring analyses and reporting.
• Analyze complex datasets to identify patterns and support credit risk decisions.
• Perform independent quantitative and qualitative credit risk analysis on insurance counterparties.
• Develop ratings, limit recommendations, and decision-oriented assessments of credit exposures and transaction-related risks.
• Monitor credit developments, engage internal stakeholders, and communicate financial risk methodologies to business units.

Requirements

• Quantitative and analytical background with a degree in Finance, Economics, Mathematics, Statistics, or a related field.
• 2–5 years of experience in financial risk assessment, data analysis, or a related area.
• 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 the ability to deliver scalable solutions.
• Strong communication skills for presenting complex technical findings to technical and non-technical audiences.

Nice to have

• Experience in credit risk assessment, capital markets analysis, or financial institutions coverage.
• Knowledge of credit rating methodologies, risk assessment frameworks, financial statement analysis, or credit modeling.
• Experience in a global or matrix organization.
• FRM, CFA, or a similar professional certification.

Culture & Benefits

• Collaboration across Zurich, New York, Alpharetta, and Bangalore.
• Work in a global credit risk management function supporting the wider insurance business.
• Inclusive workplace focused on equal opportunities, professional development, and diverse perspectives.
• AI-powered tools may support application review, with final hiring decisions made by people.