National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Finance Systems Assurance Manager

Frimley
3 days ago
Create job alert

Location: Frimley (Hybrid)

Contract: 24 Months

Rate: £53.90 per hour umbrella rate

Role Description

· Team management to deliver finance systems assurance.

· Delivery of corporate reform requirements to assure finance systems

· Support corporate data governance requirements.

· Lead relationship with GCC and EIT for finance system RACMs

· Act as key interface with GPO

· Drive high standards of Finance systems controls

· Lead relationship External and Internal auditors for finance systems controls

· Support the Ad Astra programme in deploying finance systems controls

Core Duties

· Create, maintain and drive a finance systems controls culture across the finance systems team and wider business

· Responsible for system controls for centralised finance systems to support Corporate Reform.

· Manage team (No direct line team management) deliverables for Internal & External Audits requirements.

· Line management responsibilities for the systems team including quarterly COSA process & control owner in MetricStream, NXG & E-DOA

· Responsible for working with the team in delivering audit recommendations and COSA actions in the agreed timescales.

Knowledge, Skills and Qualifications

Knowledge:

· IT Systems Audits

· Finance Audits

· System governance

· Project delivery

Skills:

· Leadership skills

· Influencing skills

· Presentation skills

· Lean/Six sigma continuous improvement skills

· Understanding the financial control environment

Qualifications:

· Qualified Accountant (ACCA/CIMA)

Related Jobs

View all jobs

Finance Assurance Manager

Data Analytics and Insights Manager

Insurance Operations Manager

Digital Operations Manager, IT Manager, IT Support Manager

Tax, Technology and Transformation - Business Intelligence (BI) Manager

Procurement Manager

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.