New research from the Global Institute of Credit Professionals identifies the core capabilities employers consistently seek across the world’s top banks, revealing that AI is reshaping credit roles but not replacing the foundations of successful careers.
Employers across the world’s leading banks are converging on a clear definition of what it means to be “credit capable,” according to new research from the Global Institute of Credit Professionals (GICP).
The report, ‘Building the Modern Credit Workforce’, analyzed more than 1,500 live credit-related job postings from the world’s top 50 banks across eight major financial markets to identify the skills employers consistently prioritize across modern credit roles. Rather than revealing a race towards AI-only expertise, the findings show that employers are building teams that combine technical, regulatory and behavioral capabilities to support increasingly complex credit decisions.
The research found that employers are converging around a universal credit skill set that combines data platforms and governance, model risk and governance, NLP and document analysis with adaptability, stakeholder management, risk mindset, judgment, communication and storytelling as the foundations of successful credit careers. While AI, data and programming skills are now present across credit functions, they are being sought alongside core capabilities rather than replacing them. The report concludes that today’s most successful credit professionals combine technical expertise with the ability to explain, challenge and defend decisions in increasingly data-driven environments.
The analysis also highlights how credit roles are evolving. Forty-four per cent of roles remain traditional in structure, while 45% have already evolved into blended roles where established credit responsibilities are augmented by AI-supported tasks. Hybrid roles are found in areas such as data and modelling, underwriting and credit research, reflecting how AI is increasingly supporting analysis while accountability for decisions remains firmly with people.
Python is the third most requested technology across credit roles, while Excel and PowerPoint remain the two most widely requested tools. Nearly 10% of job postings explicitly require proficiency in at least two of these three, showing that employers value professionals who can combine established financial expertise with technical and analytical capabilities. Rather than pointing to a wholesale shift in the tools used by credit professionals, the findings show that traditional and technical capabilities are already being sought together across modern credit roles.
Andreas Karaiskos, Executive Director of the Global Institute of Credit Professionals, said:
“There is a growing perception that AI is fundamentally changing the skills employers value. Our research tells a more nuanced story. The world’s leading banks are looking for professionals who can combine technical and digital capability with sound judgment, strong communication and effective risk management. AI is changing how credit work is performed, but it is being integrated alongside the capabilities that have always underpinned good credit decision-making. For professionals, the message is clear: the strongest careers will be built by combining enduring credit fundamentals with the ability to work confidently alongside new technologies.”
The report also found that employer expectations evolve as careers progress. Early-career roles focus on developing strong foundations in data quality, governance and communication, while senior roles place greater emphasis on leadership, commercial judgment and strategic decision-making. Across every level of seniority, however, employers consistently expect professionals to combine technical knowledge with the ability to communicate effectively, manage risk and exercise sound judgment.
According to GICP, the findings provide a practical blueprint for organizations seeking to build future-ready credit teams and for professionals looking to develop the capabilities employers consistently value in an evolving financial services landscape. As AI becomes embedded across the credit lifecycle, the report concludes that competitive advantage will come not from mastering a single technology or skill, but from developing the blend of technical, regulatory and behavioral capabilities that define today’s modern credit professional.
Download the full ‘Building the Modern Credit Workforce’ report.