Data Analyst - US SAAS Scale Up - Fixed Income

Page Personnel
London
4 days 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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.