BANKING INDUSTRY

Technological competency development 2030

Transformation directions and key insights

In 2026, the banking sector is facing dynamic changes driven by the growing importance of artificial intelligence and the competency transformation of technology teams. Increasingly advanced AI tools are reshaping how work is organized, how IT teams are structured, and what skills are expected from specialists. As a result, financial institutions are actively analyzing which competencies will be critical by 2030 and which will gradually lose relevance – in order to effectively prepare their organizations for upcoming challenges and increasing market competitiveness.

Competencies in transformation – what is losing and gaining importance

Among the competencies whose importance is expected to decline are those most susceptible to automation. Various support roles – such as technical documentation creation, system administration, or basic helpdesk services – can be largely handled by GenAI. A similar trend is observed in testing, where manual approaches are being replaced by automated test generation supervised by QA experts.

Challenges are also emerging for junior IT professionals. Juniors without domain knowledge and with limited professional experience are becoming one of the groups most exposed to reduced demand in environments where artificial intelligence takes over parts of analytical, development, and operational tasks.

At the same time, the importance of competencies that are difficult to automate and those that strengthen human-AI synergy is increasing. Critical thinking, validation of model-generated outputs, understanding of legal and ethical aspects, and precise prompting – now a new form of digital communication – are becoming key skills. In technical domains, the role of frontend developers leveraging GenAI tools is growing, as is the demand for engineers capable of combining technological expertise with business understanding.

Changes in the structure and dynamics of IT teams

The transformation also affects how teams are built. Organizations are gradually shifting towards smaller, more agile structures supported by AI agents and tools that automate most repetitive tasks. As a result, demand is increasing for highly experienced professionals – senior specialists and experts – as well as AI/ML engineers, whose role in the financial sector is growing at a record pace.

Domain knowledge is also gaining increasing recognition. Companies are seeking individuals who can combine technological competencies with an understanding of business processes and design solutions based on real business objectives rather than solely from a programming perspective.

In parallel, GenAI now supports every stage of the software development lifecycle. In the banking sector, generative tools are delivering productivity increases of up to several dozen percent, further accelerating the adoption of modern technologies and redefining roles within technology teams.

ALTEN as a competency transformation partner

To respond effectively to these changes, ALTEN is actively investing in the development of future-oriented competencies. Our teams are building both advanced technological skills and capabilities essential for working with AI, enabling us to act as a trusted advisory partner in transformation projects within the financial sector.

As a Google Cloud Partner, we support organizations in migrating to cloud architectures, implementing AI solutions, and building scalable services for the future. At the same time, as a Platinum ISTQB Partner, we continuously strengthen competencies in software quality assurance, ensuring the highest standards of testing and SDLC governance.

As a result, our specialists are well prepared to support organizations through the changes that will define the technology and financial markets through 2030 and beyond – both in terms of competencies and the strategic use of artificial intelligence.