Analytics Consultant - Credit Risk Decisioning

Experian
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science & Analytics Consultant

Senior Data Science & AI Consultant — Analytics Leader

Data Science Consultant

Hybrid Data Scientist Consultant — AI & Analytics

Senior Data Science Consultant - Hybrid Analytics

Health Data Science Consultant - Advanced Analytics

Job Description

We have a new vacancy for an experienced Analytics Consultant to join our Analytics team and supporting with our cloud based Ascend platform The Analytics Consultant with be partnerting with clients to understand their business, identify what data is required and how clients can best leverage Experian data analytics to improve business outcomes.


Key responsibilities include:

Design analytics solutions to client’s problems in any area of consumer lending and credit risk management, using Experian analytics solutions. Engage in a consultative way with the client, to identify problems and define, design and deliver analytics solutions, with a particular expertise in credit risk modelling and/or optimisation techniques. Present proposals to clients for analytics solutions, including recommendations. Provide consultancy on the potential ‘bigger picture’ strategies. Co-ordinate with Experian’s Analytics Pre-Sales team to contribute to sales opportunities and support the conversion of sales prospects.


Qualifications

Strong analytical modelling and consultancy experienced gained in credit risk management or banking sector as a Consultant, Data Scientist or Machine Learning Engineer.​ Applied modelling and analytics experience to drive business decisions​ Expertise in credit risk decisioning. Deep coding knowledge in Python with SAS or R. Good stakeholder management skills. Subject matter expert on the mechanics of consumer lending (risk, data usag, outcomes) Knowledge of Cloud / AWS Product strategy experience desirable but not essential.


Additional Information

Discover the Unexpected

Experian is the world’s leading global information services company. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. For more than 125 years, we’ve helped economies and communities flourish – and we’re not done.

Our 21k amazing employees in 40+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ the brightest minds that share our purpose and want to make a difference.

Our uniqueness is that we truly celebrate yours.

Experian's culture and people are key differentiators. We take our people agenda very seriously. We focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. We’re an award winning organisation due to our strong people first approach.

Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-DS1

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.