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

Apply Now

Director of Credit Risk

Harnham
London
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Research)

Machine Learning Engineer (MLOps)

Machine Learning Engineer (Research)

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Director of Machine Learning & AI

Director of Machine Learning - Antibodies

DIRECTOR OF CREDIT RISK MODELLING & ANALYTICS

UP TO £185,000

LONDON

This is an exciting opportunity to come in as the Director of Credit Risk Modelling & Analytics, where you will be responsible for leading the development of advanced credit models and analytics frameworks that support sustainable growth within the business.

THE COMPANY

This company is a rapidly growing FinTech focusing on providing credit to those who are underserved by the more traditional financial institutions. The business currently has 120,000 customers and are continuing to onboard new customers regularly.

THE ROLE

You will be doing the following daily:

  • Establish and lead a dynamic, high-performing team by mentoring and empowering customers to enhance their skills and advance their professional growth.
  • Develop and execute credit frameworks and responsible lending strategies that align with business growth goals and regulatory standards.
  • Oversee the creation, implementation, and upkeep of sophisticated credit risk models, integrating traditional methodologies with machine learning to optimise underwriting, pricing, and portfolio management.
  • Manage the analysis of portfolio performance, identify risks and opportunities, and deliver actionable insights to refine credit policies and improve customer experiences.
  • Drive innovation by staying ahead of emerging trends in credit risk assessments, leveraging new data sources, and identifying opportunities for growth while mitigating potential risks.
  • Design and sustain governance frameworks that ensure full adherence to regulatory requirements and internal risk management protocols.
  • Collaborate closely with pricing, product, operations, marketing, and engineering teams to craft innovative, data-driven solutions that achieve growth while maintaining robust risk management.
  • Communicate strategies, insights, and recommendations effectively to the Executive Committee, Board members, Credit Unions, and other stakeholders, fostering alignment and support for key initiatives.

YOUR SKILLS AND EXPERIENCE

  • 10 + years’ experience in credit risk modelling, decision science, analytics, risk, and forecasting.
  • Strong knowledge of SQL.
  • Experience with Python or R is desirable.
  • Traditional consumer credit data experience needed (Experience, Equifax, or TransUnion).
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £185,000.
  • Stock options.
  • Private medical insurance.
  • Hybrid working pattern.
  • Pension.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

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.

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.

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.