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

Apply Now

Credit Risk Manager - SME Lending

Harnham
Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Lead Data Scientist

Senior Data Scientist - Home Insurance

Senior Data Scientist

Senior Data Scientist – Risk Modelling

CREDIT RISK MANAGER - SME LENDING

£120,000

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 £120,000
  • 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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.