Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Credit Risk Analyst / Data Scientist...

Eden Smith Group
Ashford
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Data Science Manager

Markets Quant Analyst - Equities Prime Intelligence (AI & Machine Learning)

Data Scientist

Data Scientist - Borrow Analytics Manager

Data Scientist - Borrow Analytics Manager

Job Description

Are you looking to leave your starter jobs and progress your career in Credit Risk & Data Science? Do you want to work in a fast paced environment where you can make an immediate impact?

PLEASE NOTE- All Candidates MUST be able to commute ON-SITE to Seven Oaks, Kent 3 days per week. Public Transport is limited so IDEALLY candidate will hold a full UK drivers licence and own car.

We are hiring a Credit Risk Analyst / Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech enabled financial services organisation.

The Role

You will be part of a small, high impact data science team responsible for:

  • Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections
  • Supporting loss forecasting for both new business and the existing portfolio
  • Exploring new data sources and modelling techniques to improve performance and accuracy
  • Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions
  • Collaborating across departments with teams in credit risk, finance, capital markets, and operations
  • Monitoring model performance and contributing to regular validation and compliance reporting

    What you'll need?

  • A degree, or strong mathematical ability, in a numerate subject such as Mathematics, Statistics, Data Science, Economics, or Physics
  • 1 to 2 years of experience in a Financial data driven environment, or strong academic project experience
  • Familiarity with modelling techniques like logistic regression or basic machine learning
  • A keen interest in data science and its applications in finance or risk
  • Strong attention to detail and a problem solving mindset
  • A confident communicator who can explain data insights to both technical and non technical audiences
  • A willingness to learn. For example, experience in Python/R, AWS or model deployment would be great, but it is important that you could learn this

    Why work for us?

  • Work in a high growth, data first business combining fintech agility with financial service rigour
  • Be part of a collaborative and forward thinking team where your input matters
  • Gain exposure to real world business problems and end to end model development
  • Hybrid working available, with regular team interaction and support
  • On site parking and scenic office location in Sevenoaks (a driving licence is helpful due to limited public transport)

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.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.