Mallon Associates

Bespoke engineering training for financial services. Graduate programmes. AI-era capability. 35 years of doing it properly.

[Mallon Associates @mallonassociate]

Every good engineering team has one. The person you cannot afford to lose. The one whose sign-off you wait for.

The person is not the risk. The system that only they understand is the risk.

[Mallon Associates @mallonassociate]

Your engineers know what not to use. Does training? https://t.co/8klqJubY7Y via @YouTube

[Mallon Associates @mallonassociate]

1 Month Training vs 6 Months of Osmosis https://t.co/w343VReP0F via @YouTube

[Mallon Associates @mallonassociate]

Why software engineers aren't a cost https://t.co/HtzyE183hy via @YouTube

[Mallon Associates @mallonassociate]

Great engineers spend as much time translating technical decisions to non-technical stakeholders as they do writing code.

https://t.co/ZYXDoMkNGj

[Mallon Associates @mallonassociate]

What Makes a Good Software Engineer? https://t.co/Bw4v14K42c via @YouTube

[Mallon Associates @mallonassociate]

How Do You Transfer Knowledge From Senior Engineers? https://t.co/s9HbXywKUC via @YouTube

[Mallon Associates @mallonassociate]

A new cohort of graduate engineers is joining the Mallon Graduate Programme

In this short video, Michael Clarke and Paul Storer-Martin share what they'll be learning and what Mallon is looking forward to most: https://t.co/tCIvFy2VHi

#SoftwareEngineering #EarlyCareers

[Mallon Associates @mallonassociate]

@lightsilver323 Capability for global banks and fintech engineering teams - https://t.co/pILNrugKak

[Mallon Associates @mallonassociate]

@Joi2James Capability - https://t.co/pILNrugKak

[Mallon Associates @mallonassociate]

@lightsilver323 Capability.

[Mallon Associates @mallonassociate]

The one question every software engineer needs to ask

Our CTO, Paul Storer-Martin, opens a new conversation with Mallon alumnus Alwyn Tan about 18 years of engineering practice.

3-min video: https://t.co/ovhBtqDOHU

[Mallon Associates @mallonassociate]

Our CEO Mike Clarke, on what critical-person dependency actually is, why it doesn't sit on your risk register, and the four steps engineering leaders take to reduce it.

https://t.co/4wGgAwmKV6

[Mallon Associates @mallonassociate]

Most engineering risk registers miss the biggest risk on the team.

Not because it's hidden. Because it's alive, sitting at a desk, currently answering someone's question.

[Mallon Associates @mallonassociate]

Every good engineering team has one. The person you cannot afford to lose. The one whose sign-off you wait for.

The person is not the risk. The system that only they understand is the risk.

[Mallon Associates @mallonassociate]

The boardroom assumption is that #AI closes the tech talent gap. But data shows efficiency gains are redeployed into more delivery, not fewer people.

Building capability is the only lever you control. It works when it's designed, not left to chance.

https://t.co/yF7IKIfSMf

[Mallon Associates @mallonassociate]

AI doesn’t fix weak engineering foundations; it exposes them faster. ⚡️

DORA research shows AI boosts speed while tanking stability. Real winners don't just buy tools; they have engineers who understand why systems work.

What this means for FinServ 👇 https://t.co/TjJ5AMYmOi

[Mallon Associates @mallonassociate]

What happens when the person who knows the most about a critical system isn't available?

That's critical-person dependency. And it sits inside almost every engineering team.

New Mallon blog on engineering capability that scales: https://t.co/sOQ3MpuMq4

[Mallon Associates @mallonassociate]

The most expensive engineer in your team isn't the highest paid.

It's the one everyone depends on.

When every difficult decision, incident, and review flows through the same person, you don't have an expert.

You have a bottleneck.

#EngineeringLeadership #SoftwareEngineering

[Mallon Associates @mallonassociate]

The metric every engineering team measured was always weak. AI just made it impossible to ignore.

Why time-to-first-commit no longer measures what L&D dashboards think it does, and the metric we're putting in its place.

More: https://t.co/rZQQZYKbpW

#EngineeringLeadership #AI