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

Apply Now

Director of Credit Risk

Harnham
London
10 months ago
Applications closed

Related Jobs

View all jobs

Ratings Artificial Intelligence (AI) team - London

Director of Machine Learning - Antibodies

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

Director of Observability & AIOps Engineering

Director of Data Science

Senior Director of Data Science & Insights

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.

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.

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.