Data Analyst - US SAAS Scale Up - Fixed Income

Page Personnel
London, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Treasury Back Office Analyst

Ocado United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland
Posted
27 May 2025 (12 months ago)
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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.