Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Credit Risk Analyst - SME Lending

Harnham
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist & AI Specialist

Senior Data Scientist

Lead Data Scientist - Credit Risk/Pricing

Data Scientist

Machine Learning & AI Engineer

Machine Learning & AI Engineer

LEAD CREDIT RISK ANALYST – SME LENDING

£85,000

LONDON

This role offers the chance to work on a range of project areas including lending strategy, pricing modelling and wider portfolio analytics to grow out the SME lending book of a well-known and successful FinTech.

THE COMPANY

This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position where they are targeting further success.

THE ROLE

  • Developing lending strategies across the customer lifecycle to enhance profitability and decisioning
  • Developing and implementing models, including but not limited to Scorecards and NPV models, in order to enhance lending
  • Analysing trends in lending portfolios to drive insight and enhance business performance
  • Leading the incorporation of new data sources to enhance and improve decisioning, collaborating with teams including Underwriting, Data Science and Marketing

YOUR SKILLS AND EXPERIENCE

  • Previous experience in and knowledge of SQL is essential, Python desirable
  • Experience in developing lending strategies in a consumer lending environment is essential
  • Understanding of and exposure to credit risk models, such as scorecards
  • Experience with SME or wider business lending is essential

SALARY AND BENEFITS

  • Base salary of up to £85,000
  • Discretionary Bonus
  • Company pension scheme
  • Company equity
  • 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.