Associate Credit Risk Analyst

Regular Employment

Location: Bangalore, KA, IN

Are you passionate about financial analysis and eager to make a meaningful impact in a global environment? Join our Credit & Surety team at Swiss Re, where your analytical expertise will directly influence underwriting decisions and support clients across global markets. As we continue to transform the credit insurance business through AI, data-driven insights and innovative solutions, we are looking for talented professionals to be part of this journey.

About the Role

We are looking for a high-performing Credit Risk Analyst to join the Credit Product Centre (CPC) in Bangalore. This role sits at the heart of underwriting decision-making and offers a unique opportunity to work on complex credit transactions across geographies and sectors.

You will combine fundamental credit analysis with commercial insight to support underwriting decisions particularly in area of trade finance, contribute to portfolio monitoring, and drive efficiency through AI, data and technology.

Key Responsibilities

  • Credit Assessment & Appetite
    • Perform in-depth credit analysis and internal rating assessments of corporate obligors across industries and geographies
    • Evaluate financing structures and transaction risks, providing clear and actionable recommendations to underwriters
    • Recommend credit limits in line with internal risk appetite, policies, and governance standards
    • Identify key risk drivers, mitigants, and early warning signals
  • Portfolio Monitoring & Risk Management
    • Monitor existing exposures and assess the impact of market, sector, and company-specific developments
    • Identify deteriorating risks and recommend watchlist actions or risk mitigation strategies
    • Contribute to portfolio-level insights, including sector trends and concentration risks
  • Stakeholder Collaboration
    • Partner closely with underwriting, risk management and actuarial teams globally
    • Communicate credit views effectively to support timely and informed decision-making
    • Build strong working relationships across regions and functions
  • Operational Excellence & Transformation
    • Drive efficiency in credit processes, improving turnaround times and consistency of outputs
    • Contribute to data-driven and AI-enabled transformation initiatives within Credit & Surety
    • Support development and enhancement of tools, methodologies, and credit frameworks

About the Team

The Credit Product Centre (CPC) is a global team supporting the Credit & Surety business across regions. The team plays a critical role in:

  • Delivering high-quality credit risk assessments for underwriting decisions
  • Driving strategic initiatives in risk analytics and portfolio insights
  • Ensuring consistency, governance, and best practices across the credit process
  • Supporting pricing, monitoring, and portfolio steering

The team operates globally with presence in multiple key locations and works closely with senior stakeholders across underwriting, risk, and functional areas.

About You

You're an analytical thinker with strong financial acumen and a passion for understanding global markets. You thrive in collaborative environments while maintaining independent judgment and can effectively communicate complex financial concepts to diverse stakeholders. Your curiosity drives you to continuously develop your skills and knowledge in this evolving field.

We are looking for candidates who meet these requirements:

  • 3-6 years of experience in credit analysis and credit-related work
  • Strong academic background with a relevant business degree and/or post-graduate qualification (MBA/CFA/Chartered Accountant or similar)
  • Proficient in financial spreading, financial projections, and handling credit application documents
  • Good knowledge of global macroeconomics, financial markets, and credit-related products
  • Strong quantitative and analytical skills with good command of English
  • Working knowledge of database management tools and strong Excel skills
  • Handling multiple priorities and meeting deadlines in a fast-paced environment

These are additional nice to haves:

  • Knowledge of corporate loans, structured financing, and trade finance products
  • Experience in credit analysis of asset/fund managers, private equity/venture capital firms
  • Prior experience in risk analytics and quantitative credit analysis
  • Digital transformation project experience

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 14,000 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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Reference Code: 137620 

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