10.04.2025
Reading time: 3-4 minutes

The knowledge crisis in financial software: How talent shortages are slowing progress

Software Improvement Group

In this article​

Summary

Our finance signals 2025 report uncovers a growing challenge in the Financial Services Industry (FSI): the concentration of critical software knowledge in too few hands. This so-called “knowledge crisis” is quietly undermining productivity, agility, and resilience. 

Our data shows that 66% of FSI systems fail to meet SIG’s recommended knowledge distribution rating, creating “knowledge monopolies” where only a few individuals understand how core systems work. This makes systems harder to maintain, slower to improve, and riskier to scale. 

It’s no surprise that 70% of financial services CEOs now say the lack of skilled professionals poses a greater threat than competition or changing customer demands. 

Read the full report to learn how improving knowledge distribution can reduce risk and boost long-term agility. 

Mockup of the finance signals report

Introduction

As financial institutions push forward with digital transformation, many are hitting a familiar roadblock: a shortage of skilled people to build and maintain the systems behind it. The pace of innovation is high, but finding and keeping the right talent isn’t getting any easier. 

According to PwC, 70% of financial services CEOs now see the talent gap as a bigger threat to growth than competition or changing customer demands. Still, only 28% say they’re prioritizing workforce upskilling, leaving a clear disconnect between the problem and the response. 

The shifting talent landscape

The demands on the financial services workforce are changing fast. According to the World Economic Forum, technology, digitalization, and sustainability are driving the growth of the fastest-growing roles, particularly in the financial services industry.  

Over the next five years, 44% of current skills will need to evolve, and 60% of employees will require retraining to stay relevant. The problem? Only about half will have access to those opportunities. That gap leaves a significant portion of the workforce unprepared for the demands of modern financial systems. 

Without a structured approach to workforce development and knowledge retention, financial institutions risk falling behind on transformation goals while also losing valuable expertise at a time when it’s needed most. 

The hidden knowledge crisis in FSI software development

Talent shortages are already a challenge, but they’re compounded by how knowledge is distributed within development teams. Too often, critical expertise ends up concentrated in the hands of just a few people. 

Our benchmark data shows that 66% of FSI systems fall short of SIG’s recommended knowledge distribution rating, meaning most organizations are operating with “knowledge monopolies”—systems where only a small group of developers understand how things actually work. This setup creates bottlenecks, increases risk, and slows teams down when it matters most. 

The image features a graphic with two large, overlapping squares: one red and the other orange. Each square contains a percentage figure and accompanying text. The red square is on the left with the text "66% in FSI below recommendation," and the orange square is on the right with "60% in non-FSI." Above the squares, there is a "Knowledge rating" section with a row of five stars, two of which are blue, and one is half blue, indicating a 2.5 out of 5 rating.
Architecture characteristics are defined by SIG’s Architecture Quality Framework. The SIG Architecture Quality Model provides insight into the ability of an application to evolve as business needs change. The knowledge rating is one of the five aspects of Software Improvement Group’s Architecture Model and consists of two properties: “Component freshness” (which measures the distribution of recent code churn across system components as regular maintenance occurs) and “Knowledge distribution” (measured as the number of authors with significant contributions to a component per KLOC—thousand lines of code). 

The risks of knowledge monopolies

When critical knowledge is concentrated in a few hands, it creates serious downstream effects on cost, speed, and resilience. 

  • Higher operational costs: New developers spend more time navigating undocumented or overly complex code. 
  • Longer recovery times: When key developers leave, fixing issues or making changes takes significantly longer. 
  • Slower software evolution: When only a few people understand how a system works, it becomes harder to adapt or scale. 

For FSI organizations managing hundreds of software systems, these inefficiencies scale exponentially, draining resources and increasing risks.

The image is a conceptual diagram with three main elements, each represented by circles. On the left, an orange circle labeled "Limited knowledge sharing" contains orange stick figures using laptops, connected by bidirectional arrows, symbolizing restricted exchange. In the center, a large gradient circle labeled "Shared knowledge" features bidirectional arrows connecting blue and purple stick figures with laptops, indicating open collaboration. On the right, a blue circle labeled "Knowledge monopoly" shows a blue stick figure with a laptop and a small exclamation mark inside an orange circle, highlighting limited access. The flow of information is illustrated by arrows pointing towards the central circle.

Keeping systems up-to-date matters

In addition to spreading knowledge across teams, keeping system components up to date is just as important. When components aren’t regularly maintained, they become harder to modify, slowing down development and increasing both security and operational risks. 

Regular updates and maintenance are critical for ensuring long-term efficiency and system stability. 

The image features two groups of circles, illustrating the difference between consistent and inconsistent system updates. On the left, "Consistent system updates" is shown with six circles filled with a gradient of blue and light blue, each encircled by a green border. The circles vary in size, with the largest in the center. On the right, "Inconsistent system updates" consists of six circles with varying shades of blue, some with orange and red borders. Two smaller circles feature red exclamation mark icons, indicating issues. Below is a gradient bar labeled "Frequency of system updates," ranging from dark to light blue, symbolizing update frequency.

Prioritizing skills and knowledge distribution

As the talent gap widens, financial institutions need to be more deliberate about how knowledge is shared and retained. Prioritizing upskilling, documentation, and cross-team visibility is critical for reducing dependency on individuals and building long-term resilience. 

That means investing in regular training, keeping system documentation up to date, and ensuring components are actively maintained. These practices both reduce risk and help create a more adaptable and future-ready workforce. 

These insights come from our latest report, finance signals 2025, packed with exclusive benchmark data and 25 years of expertise optimizing financial IT. It’s a must-read for CIOs, CTOs, and technology leaders aiming to make confident, strategic decisions in a rapidly evolving environment. 

Download the full finance signals 2025 report here. 

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