National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Credit Risk Manager

Nottingham
5 days ago
Create job alert

SENIOR CREDIT RISK MANAGER
UP TO £90,000
FULL TIME, PERMANENT
NOTTINGHAM CITY CENTRE

SF Recruitment are recruiting a Senior Credit Risk Manager for their client based in Nottingham City Centre. You will play a pivotal role in shaping and leading our clients credit risk strategies. This is a high-impact position, responsible for driving portfolio performance, ensuring compliance, and supporting the business's continued growth through data-led decision-making.

Key Responsibilities

  • Lead the design, implementation, and optimisation of credit risk strategies across acquisition, account management, and decisioning.
  • Manage and mentor a high-performing credit risk team, fostering a culture of development and excellence.
  • Partner with cross-functional teams including Product, Technology, Compliance, and Finance to ensure risk strategies align with business objectives.
  • Own and continuously enhance the credit risk policy framework, decisioning models, and governance to ensure regulatory compliance and audit readiness.
  • Deliver actionable portfolio performance insights and risk analytics to executive leadership.
  • Develop and maintain statistical models (e.g., PD models, bureau and custom scorecards) to support credit underwriting and segmentation.
  • Leverage credit bureau data (e.g., TransUnion, Experian) to inform and refine credit strategies.
  • Conduct robust exploratory data analysis and ensure data integrity through rigorous data cleaning processes.
  • Design and oversee A/B testing to evaluate and optimise credit risk strategies.
  • Translate complex analytical insights into clear recommendations for stakeholders.
  • Balance commercial objectives with risk appetite, optimising scorecards and policies for profitable, sustainable growth.

    Essential Requirements:
  • A degree in Data Science, Statistics, Economics, or a related field
  • Minimum of 8 years' experience in the Financial Services sector
  • Strong experience working with large and complex data sets
  • Proficiency in programming languages such as Python, R, or SQL
  • Advanced skills in Excel
  • Excellent communication skills, with the ability to present complex technical concepts to non-technical audiences
  • Highly analytical, detail-oriented, and committed to continuous improvement
  • Comfortable operating in a dynamic and fast-paced environment

    Desirable:
  • Experience working with credit bureau data
  • Familiarity with Salesforce and data visualisation tools (e.g., Tableau, Power BI)

    What's on Offer:
  • 25 days annual leave plus Bank Holidays
  • Flexible and hybrid working options
  • Long-term career progression in a growing, mission-driven company
  • Private healthcare

Related Jobs

View all jobs

Senior Data Scientist (Fraud)

Senior Data Scientist • Credit Risk

Senior Data Scientist • Credit Risk

Machine Learning Engineer, London

Machine Learning Engineer, Manchester

Machine Learning Engineer, London

National AI Awards 2025

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.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.