Senior Financial Accountant

London
10 months ago
Applications closed

Related Jobs

View all jobs

Commercial Data Analyst

Senior Finance & Data Analyst (12-Month FTC)

Forensic Data Analytics Manager

Forensic Data Analytics Manager

Y Royalties – Data Engineer (London)

Applications & Data Quality Analyst

Our client, an established institution in the Higher Education sector is seeking to appoint a Senior Financial Accountant to support the delivery of accurate, insightful financial reporting and regulatory compliance.

Job Title: Senior Financial AccountantLocation: Remote

Salary: Up to c.£55,000 depending on experience + Excellent pension + benefits

Job Type: Full -Time, Permanent

Senior Financial Accountant - Key Responsibilities:

  • Handle and manipulate large volumes of financial data, presenting clear, interrogatable summaries to support strategic and operational decision-making

  • Lead on key sector-specific financial returns and compliance, including HESA and TRAC submissions

  • Support statutory reporting, VAT compliance, and pension scheme accounting

  • Engage with colleagues across finance and non-finance functions to ensure high-quality reporting and data integrity

  • Identify and implement improvements to financial modelling, forecasting, and reporting processes

    Senior Financial Accountant – You:

  • Strong background in Higher Education finance, with experience of HESA, TRAC, VAT, and pensions

  • Advanced Excel skills essential – including use of Power Query, pivot tables, complex formulas, and financial data visualisation

  • Proven ability to analyse, interpret and present complex financial data in a clear, accessible format

  • Professionally qualified (e.g. ACA, ACCA, CIMA) or qualified by experience with demonstrable sector expertise

  • Self-motivated and organised, with the ability to manage priorities and meet deadlines in a remote-working environment

    Senior Financial Accountant - Offer Includes:

  • Salary up to circa £55,000, depending on experience

  • Fully remote working arrangement

  • Excellent pension scheme and comprehensive employee benefits

  • An opportunity to contribute to a respected institution in the Higher Education sector, with a focus on data-driven insight and compliance excellence

    Application Process:

    To express your interest or to request further information, please apply or get in touch today

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.