Data Analyst - US SAAS Scale Up - Fixed Income

Page Personnel
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

US SAAS scale up first UK Data Analytics hire to support their EMEA expansion! Remote UK role that will rapidly develop data analysis skills!

About Our Client

Our US SAAS client is a scale up focused on providing services to Fixed Income Managers. They are a small and growing business who are investing in their first UK hire. They have ambitious founders who are growing a high performance, customer centric,, and collaborative business.They are growing quickly and have already promoted similar hires in the US to senior positions.

Job Description

Our client is looking for a Data Analyst who will support thire data, customer success and internal product development teams. The initial role will entail learning back-end data processes focused on data entry, data cleanliness, and locating new process improvement opportunities with increasing responsibility and client exposure as the role progressed.

Interpreting data and analysing results using statistical techniques Identifying, analysing, and interpreting trends or patterns in complex data sets Filtering and cleaning data, and reviewing computer reports, printouts, and performance indicators to locate and correct code problems Collaborating with management to prioritize business and information needs Developing and implementing databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality Generating reports from single or multiple systems Maintaining databases and ensuring the security of data Creating visualisations and reports for requested projects

The Successful Applicant

A successful Data Analyst should have:

Data analysis experience in Financial Services Knowledge of UK leveraged credit markets - fixed income, private credit, leveraged loans, high-yield bonds, and CLOs. Be a self starter as you will be the first remote UK employee hire and will play a critical in EMEA expansion Experience A degree in Mathematics, Economics, Computer Science, Information Management or Statistics Strong knowledge of and experience with reporting packages, databases, and programming Adept at queries, report writing and presenting findings Experience in using statistical tools for analysing datasets Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy Python experience desirable

What's on Offer

£40,000 - £55,000 Fully remote roleFirst UK hireOpportunity to get stock options in a rapidly growing US SAAS scale up

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.