Abstract
The Banking, Financial Services, and Insurance (BFSI) sector is undergoing unprecedented change, driven by digital disruption, stringent regulatory reforms, evolving high customer expectations, and rapid technological advancements. This fast-paced transformation at present demands a workforce that can adapt to new trends, technologies and challenges. In the process of developing a rank of future-ready workforce in the BFSI sector, the Learning & Development (L&D) acts as a strategic pillar.
Gone are the days when L&D in Banks was characterised by formal classroom training and confined to compliance or onboarding training programs. Today, it plays a critical role in enhancing operational efficiency, functional effectiveness, driving innovation, and enabling needed to thrive in an increasingly digital and customer-centric financial landscape.
Therefore, the financial sector must adapt and scale up transformative Learning and Development (L&D) by way of building agile, tech-driven ecosystems that prioritise continuous, personalised skill-building instead of relying on traditional, one-size-fits-all training. Also, banks and financial institutions must leverage innovation to develop future-ready skills, empower talent, and drive a resilient talent pipeline.
A. Evolution of learning and development in BFSI Sector
The financial services landscape, unlike others, has undergone a severe transformation, driven by advancements in technology and changing workplace dynamics, as well as by an increasing emphasis on continuous learning due to several changes imposed by the Government and regulators. The evolution of learning and development (L&D) in financial institutions has shifted from traditional, event-based training to dynamic, digital-first strategies focused on continuous, personalised upskilling.
This transformation is driven by technology, evolving regulations, new customer expectations, and the need to close critical skills gaps. The L&D has shifted dramatically from traditional, instructor-led sessions to modern, techdriven, and highly personalised experiences supported with AI-powered skilling.
This evolution was driven by technological advancements and a deeper understanding of how people learn and retain new skills in phases, which is described in Figure 1.
Phase-1: Traditional and classroom-based training:
These types of training have focused on foundational knowledge and product information. The characteristics of such training are:
i) Training was primarily delivered through classroom-style sessions led by instructors.
ii) It is mainly lecture-based with a rigid, standardised curriculum and set schedule.
iii) It emphasises face-to-face interaction for social skills, immediate feedback, and hands-on activities.
iv) It can limit a participant's ability to explore subjects in depth or move ahead if they grasp concepts quickly.
v) It encourages peer-to-peer communication, teamwork, and social skills alongside academic learning.
Phase 2: Early digitalisation and blended learning:
The term blended learning refers to training that combines face-to-face, classroom-based learning with distance learning (eLearning). This phase is marked by the beginning of L&D's digital transformation, prompted by advancing technology and the rise of digital tools. In this phase, the training expanded to include compliance training, 'people skills,' such as leadership, communication, and collaboration, recognising their importance for success. The characteristics of such training are:
i) It is a shift that began with the integration of digital tools, simulations, and basic e-learning modules to supplement traditional training.
ii) Blended learning approaches put more power in the learners' hands while also fostering meaningful learning experiences that provide opportunities for
iii) connection.
iv) It allows employees to access training materials at their own pace, outside the traditional classroom.
Phase 3: Strategic L&D and data-driven personalisation:
In recent years, it has been observed that L&D has become a strategic business driver, focused on continuous skilling & reskilling to address rapid technological and market changes. The characteristics of such training are:
i) The L&D shifted to an ongoing process integrated into employees' daily workflows.
ii) It is focused on creating personalised, contextual learning paths that cater to individual roles, skill gaps, and career goals.
Phase 4: Future-focused and AI-powered skilling (2025 and beyond):
This phase is the latest phase where a dual approach is advocated by way of focusing on artificial intelligence as a subject of training, as well as emphasising it as an engine that drives the training system.
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