Analytical Consultant

Cramond Bridge
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist & Consultant: Drive Real Impact

Senior Consultant - Data Scientist

Senior Consultant - Data Scientist

Data Science Consultant

Data Scientist - GenAI - Consultant

Artificial Intelligence (AI) Consultant

Join us as an Analytical Consultant

For someone with a background in explaining business performance and recommending management actions through expert use of data analytics in a client facing role, this is a valuable opportunity to help deliver crucial business advice within our franchise-wide team 

We’ll look to you to develop processes that enable the distribution and understanding of insights into the wider bank 

You’ll be supporting the business by using insights to drive effective decision making, giving you excellent recognition and the chance to raise your profile

What you'll do

This key role will see you helping to build and deliver analytics and insights for the franchise by creating and leveraging all financial and business performance including balance sheet and P&L. You’ll be developing and maintaining effective statistical profitability models and associated analytics, while providing actionable MI on all aspects of model performance.

As well as this, you’ll be:

Providing insight through analysis and communicating this effectively to your stakeholders

Identifying opportunities as they arise for business strategy improvement through a range of levers such as product, propositional, target operating model, and pricing

Identifying opportunities for improvement, both in terms of the analysis being produced, and the approaches and processes used within the team

Working with the team manager and other managers to maximise team performance and effectiveness, sharing your technical expertise to improve team capability

The skills you'll need

We’re looking for a keen problem solver who’s qualified to degree level in a numerate discipline and has data driven analysis and consulting skills. Along with extensive banking or financial services experience, you’ll have knowledge of key analytical and visualisation software. You’ll need consultancy skills, but a consultancy background is not essential.

You’ll also need:

Experience in analytical and data science including SQL, Python, and Tableau or an equivalent

An understanding of stakeholder products, propositions, customers, customer journeys, markets, and competitors

Broad experience of risk and finance systems, methodologies, and processes in a retail or wholesale banking environment

An understanding of the regulatory regime and risk management and control processes applicable to businesses within the financial services industry

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.