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

Apply Now

Credit Risk Manager (Data Scientist)

La Fosse Associates
London
3 weeks ago
Create job alert

Senior Credit Risk Manager 
London (Hybrid, 3 days in office)
Salary: £80,000–£100,000

A rapidly growing lend tech business is seeking a Senior Credit Risk Manager to shape and scale its credit and affordability strategy. This is a high-impact role for someone who thrives on data-driven decision making and wants to make a tangible difference in a fast-moving, technology-driven lending environment.


Role Overview
You’ll work within a small, high-performing risk team to optimise credit strategy, balancing business growth with strong credit outcomes. Using data, analytics, and automation, you will deliver scalable solutions across a diverse consumer lending portfolio, including near-prime and higher-risk customers.


Key Responsibilities

Develop and implement credit and affordability strategies across the consumer lending portfolio.


Build scalable processes balancing customer outcomes, operational efficiency, and commercial goals.
Use data and analytics to identify trends, inform strategy, and improve processes.
Monitor credit performance and reduce arrears and risk exposure.
Ensure compliance with regulatory, legal, and internal standards.
Collaborate with product, operations, finance, and other teams to integrate credit decisioning into the broader business.
Provide updates to senior leadership and contribute to long-term planning.

Requirements

5+ years’ experience in consumer lending, preferably near-prime or higher-risk segments.


Strong data-driven approach; experience with SQL, Python, or similar tools and credit modelling.
Experience with affordability assessments and lending to customers with limited or thin credit histories.
Structured thinker who navigates ambiguity and makes methodical, informed decisions.
Collaborative, proactive, and comfortable in fast-paced environments.
Strong problem-solving skills, turning insights into actionable strategies.

Make an impact in a technology-driven lending business that is reimagining how people access consumer credit.


,

Related Jobs

View all jobs

Senior Machine Learning Scientist, Financial Crime

Senior Data Scientist

Senior Data Scientist - Home Insurance

Senior Data Scientist - Home Insurance

CareerStart@SAS 2026 - Customer Facing Intern – AI, Data Science & Risk Management

Collections Data Scientist

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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.

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.