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

Apply Now

Credit Risk Analyst

Propel Finance
Glasgow
11 months ago
Applications closed

Related Jobs

View all jobs

Collections Data Scientist

Lead Machine Learning Engineer (Credit Risk)

Hands-on Head of Data Science - FinTech Growth

Data Science and AI Industrial Placement Scheme

Data Science and AI Industrial Placement Scheme

Data Science and AI Industrial Placement Scheme

Propel Finance was established in 1996 to provide flexible and accessible finance to SMEs across the country. Now, more than 20 years on, Propel has grown to become one of the UK’s largest, independent finance houses. We have continued to deliver leading-edge finance solutions through a unique combination of teamwork and technology.


From this continued success we are now looking to recruit aCredit Risk Analystto allow us to continue our exciting growth plans.


Our aim is to take the service we offer to the next level, to push the boundaries of what’s available, and to create great customer experiences consistent with our values. Does that sound like something you’d like to be part of?


Are you a budding Data Analyst or a Credit Risk Analyst looking to advance your career? Join a leading UK business in the B2B asset financing and leasing market and become a vital part of its success. This role offers an exciting opportunity to drive meaningful transformation and deliver impactful change within the business.


Role responsibilities;

  • Stakeholder Engagement:Collaborate with the Credit team and other departments across the business to understand their data needs, gather requirements, and provide clear insights that drive decision-making.
  • Data Analysis:Extract, transform, and analyse data to uncover insights, ensuring accurate and meaningful outputs.
  • Dashboard Development:Design and maintain visually compelling and interactive dashboards in Tableau.
  • Performance Monitoring & Reporting:Utilise dashboards and other analytical tools to assess trends and performance, delivering detailed insights to stakeholders.
  • Data Governance:Ensure data is consistent, reliable, and stored securely
  • Continuous Improvement: Drive process improvements in analytics, reporting, and stakeholder communication.


Key skills required;

  • Experience working as a Data Analyst preferably in Financial Services sector or Credit Risk Analyst.
  • Excellent SQL skills including writing complex queries, optimising performance and managing large datasets
  • Strong experience in data visualisation with Tableau and ability to build interactive dashboards
  • Experience with SAS or Python is an advantage


So, why would you want to work here?


We have a great working environment and we’re an ambitious business. We achieve so much because of our people. Everyone in the business, no matter their team or role can shape the outcome, share ideas, make suggestions, and have their voice heard. It’s a truly collaborative place to work.


At Propel, we embrace hybrid working and with modern offices in Newport, London and Manchester, plus a field-based sales team, you’ll never be too far away from colleagues.


This is a remote role, occasional travel to Newport.


Benefits you can expect:


  • 25 days annual leave + bank holidays
  • 2 additional days holiday after 5 years’ service
  • Birthday day off
  • Opt in Private Medical Insurance
  • Subsidised gym membership at £18.75 a month
  • Cycle to Work Scheme
  • Electric Car Scheme
  • Buy Annual Leave Scheme
  • Half day seasonal shopping
  • Auto enrolment pension – 3% employer contribution subject to eligibility
  • Life Assurance 3 x basic salary
  • Employee Assistance Programme available 24/7
  • Company events and reward schemes


We are proud to be a member of Stonewall’s Diversity Champions programme and are committed to improving workplace inclusion.


The Curve Group is Propel’s outsource partner for Recruitment and a "Data Processor". The Curve Group will hold the information you submit but Propel will have access to it. You can find their privacy policy here:https://www.thecurvegroup.co.uk/privacy-policy/

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 Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.