Credit Risk and Data Analyst

MERJE Ltd
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Business & Data Analyst – Counterparty Credit Risk (CCR)

Portfolio Revenue & Debt Data Analyst

Portfolio Revenue & Debt Data Analyst

Lead Insights Analyst / Data Analyst

Data Analyst

Data Analyst

Senior Credit Risk and Data Analyst

Manchester 3 days a week


£45K-£60K


Key Responsibilities

  • Data Extraction and Preparation: Extract and manipulate large volumes of data from various internal systems and external data sources (e.g., credit bureaus) using SQL, SAS and other data manipulation tools.
  • Portfolio Monitoring: Produce regular and ad-hoc Management Information (MI) reports on key credit risk metrics (e.g., delinquencies, default rates, loss rates, impairment levels) for management and regulatory reporting.
  • Analysis and Insight: Conduct in-depth analysis of portfolio trends to identify emerging risks and opportunities. Translate complex data insights into clear, actionable recommendations for the Credit Risk team and wider business stakeholders.
  • Manage the current Credit Risk data tables.
  • Represent Credit Risk in the development of the Company data strategy to ensure it meets the requirements of Credit Risk. Ensure continuity of reporting during the development along with the migration of existing data to the new Company data warehouse.
  • Balance short-term business demands with long-term analytical strategy and sustainability.
  • To comply with internal policies and procedures, alongside those of our regulator, ensuring that we Treat Customers Fairly.

Key Requirements

  • A degree in a numerate subject and good skills in quantitative/stati...


#J-18808-Ljbffr

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.