Banking Single Customer View Data Analyst / Auditor London £38k

City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst-Data Insights, Belfast

Senior Data Analyst-Data Insights, Belfast

Lead Data Engineer

Software Engineer III - MLOps

Lead Software Engineer - MLOps

Data Analyst Senior Consultant, Assistant Manager, Manager - Belfast TLNT1_NI

Data Analyst / Data Auditor | Retail Banking / Regulatory | London - Hybrid 2 days/week in the office and 3 days/week from home | £38,000 salary plus great benefits

Our London based Financial Services client is looking for a Data Analyst / Data Auditor to work on data quality and data interrogation. You'll be reviewing data, checking it's quality, ensuring that it meets the requirements and is correct, then discussing the data with the data owners. Previous experience working in Financial Services would be beneficial - but isn't essential - what is important is your data knowledge and your ability to check/audit the data and liaise with the data owners whilst conducting the reviews/audits. Any experience with Single Customer View files would be advantageous. A little knowledge of SQL would also be very beneficial.

Key Skills & Experience:

Data Analysis / Data Audit
Financial Services
Single Customer View / SCV or Financial Services Regulatory
Strong communication and amazing stakeholder management skills.

Location: 2 days/week in the London office and 3 days/week from home.
Salary £38,000 plus a great benefits package

Please do send me your CV to start a conversation around this.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

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.

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.

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.

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.