Finance Manager - Rents and Service Charge

CV-Library
Rochdale, Greater Manchester
12 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager

Faculty AI London, United Kingdom
Hybrid Clearance Required

Senior Manager (AI Safety)

Faculty AI London, United Kingdom
Hybrid

Senior Manager

Faculty AI London, United Kingdom
Hybrid

Digital Systems and Data Manager

Jobline Truro, Cornwall, United Kingdom
£50,000 – £60,000 pa

Data and Insight Manager

Vocative Consulting Bridgwater, Somerset, United Kingdom
£60,000 – £65,000 pa
Posted
16 May 2025 (12 months ago)

Job Title: Finance Manager - Rent & Service Charges

Location: Hybrid Smart Working (80% Home, 20% Office)
Working Hours: 36.25 hours per week

About the Role:

We are seeking a highly skilled Finance Manager - Rent & Service Charges to join our Finance & Procurement Team. You will lead an effective rent and service charge service, working collaboratively with key business areas. This role will require you to provide insightful financial analysis, manage budgets and forecasts, and support strategic decision-making across the organisation. You will be a key influencer, driving business improvements and ensuring robust financial practices are in place.

Key Responsibilities:



Lead the forecasting and budget process for rents and service charges, delivering insightful analysis and performance reporting.

*

Support strategic decision-making by partnering with senior managers and directors, providing key financial insights.

*

Monitor external environments to advise on key risks and impacts.

*

Drive continuous improvement in financial data integrity and business efficiencies.

*

Develop and maintain strong relationships with stakeholders, delivering financial training where needed.

*

Ensure compliance with statutory requirements for rent and service charge setting.

*

Manage service charge improvement projects and implement process enhancements.

*

Oversee budget management and forecasting, ensuring accuracy in reporting and analysis.

*

Handle customer queries and complaints related to rents and service charges professionally and efficiently.

*

Ensure financial system development supports business growth and compliance.

About You:

To be successful in this role, you will have:

*

Completed or be actively studying towards a full accountancy qualification (ACCA, CIMA) or equivalent experience.

*

Strong experience in rent and service charge legislation, budget preparation, and financial reporting.

*

Excellent analytical skills, with the ability to influence and challenge stakeholders confidently.

*

A proactive approach to identifying business improvements and enhancing data integrity.

*

Proficiency in Microsoft Office 365, particularly Excel for advanced data analysis.

*

Leadership experience, with the ability to manage and mentor team members effectively.

What We Offer:

*

Flexible hybrid working arrangements.

*

Career development opportunities within a collaborative and forward-thinking team.

*

A chance to make a tangible impact on strategic projects and financial decision-making

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

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.