Within the financial services sector, innovation is rarely superficial. It often involves deep technical and mathematical problem‑solving, delivered within highly constrained environments whilst achieving low latency, high throughput and regulatory compliance. All of this must be delivered whilst facing increasingly tight cost controls.

We regularly see uncertainty around where R&D ends, and where business‑as‑usual system development, regulatory compliancy, or commercial optimisation begins. This is particularly true where innovation is driven by algorithm development, mathematical modelling, and performance critical platforms.

Below, we outline how to approach a robust financial services R&D claim.

R&D in financial services

HMRC’s definition of R&D includes advances in science or technology. Crucially for financial services, this explicitly includes mathematics where it is used to resolve uncertainty that could not be readily worked out by a competent professional.

In financial services, qualifying R&D commonly arises where businesses are developing or materially enhancing trading systems, insurance platforms, or payments infrastructure in ways that require overcoming genuine technological or mathematical uncertainty. This includes designing and implementing advanced algorithms and models, building low‑latency or high‑throughput platforms, and creating systems capable of processing complex, real‑time data efficiently without unsustainable cloud or infrastructure costs. The qualifying activity is not always the commercial product or regulatory outcome, but the technical and mathematical problem‑solving required to make these systems work in practice where existing approaches were insufficient.

Within financial services, innovation often sits at the intersection of:

• Algorithms and mathematical models

• Software and systems engineering

• Real‑time data processing and infrastructure design

A common mistake is assuming that R&D only exists where new software is written. In practice, mathematical innovation is often the primary qualifying activity, with software acting as the delivery mechanism.

Routine activities

HMRC is clear that not all advanced development qualifies as R&D. In financial services, claims often fail where businesses include:

• Routine system upgrades or refactoring

• Vendor‑led platform implementations

• Parameter tuning using established techniques

• Regulatory change with no underlying technical uncertainty

While these outcomes may be commercially critical, they do not automatically qualify as R&D. For tax purposes, the focus must be on how the system was made to work, not what it delivers. For example, improving performance or reducing cloud spend alone does not automatically make work fall under the banner of R&D from a claims’ perspective. The qualifying element is whether existing techniques were insufficient, requiring innovation in mathematics, architecture, or engineering.

While changing regulation alone does not create R&D, development undertaken to meet regulatory requirements can sometimes qualify where it involves overcoming genuine technological uncertainty. However, work focused on economics or pure regulatory compliance cannot be claimed; the work has to have a technological element that is pushing capabilities or performance of the underlying technology stack. Each case must be assessed carefully. Errors here frequently lead to prolonged HMRC enquiries and delayed benefit.

Evidence HMRC expects to see

For financial services R&D, particularly where mathematics is involved, HMRC will expect evidence showing:

• What the technological or mathematical uncertainty was

• Why it could not be readily resolved using existing knowledge

• What alternatives were considered or tested

• Why certain approaches failed or were rejected

You can supply HMRC with evidence to support your claim, including algorithm design notes and trade-off analysis, performance benchmarks and stress-test results, failed modelling approaches or discarded architectures, and documentation explaining why standard methods were inadequate.

Much of this material probably already exists, but is often written for risk, audit or architecture governance, not R&D. But the key thing is retaining this information and adding it to your R&D claim audit trial.

Linking costs to qualifying activity

Cost identification is particularly sensitive in this sector. A robust claim requires three key things clear mapping between qualifying mathematical and technical activity and individuals, careful treatment of contractor and specialist costs and a defensible approach to attributing infrastructure and cloud usage to R&D activity. To achieve this requires a joined-up approach that bring together the input of the technical leads and the finance team, otherwise the mapping can become confused or very high-level.

Unclear linkage between the eligible activities and the claim is one of the main areas of enquiry from HMRC. In most compliance checks HMRC ask to see the backing information that allowed this mapping to take place. It is worth considering implementing time tracking or project ticket tracking to help evidence your claims if the company does not have something in place as the current time.

How we can help

We support financial services businesses in preparing robust, compliant R&D tax credit claims across trading, insurance and payments environments. Financial services R&D claims attract scrutiny due to:

• High claim values

• Complex systems and models

• Blurred boundaries between innovation, economics and finance

Our specialists work to identify genuine qualifying R&D, translate complex mathematical and technical work into HMRC‑ready narratives, and build defensible cost methodologies. By understanding where real uncertainty sits, in the maths, the systems, or both, we help you claim confidently, compliantly, and with reduced enquiry risk.