Reconciliations Specialist

London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Commercial Finance Manager (Remote)

Senior Finance Analyst

Hardware Asset Management Specialist

HR Advisor

Data Engineer

Graduate Data Analyst - Leeds

Reconciliation Specialist - 3 Month Temp Contract

Location: Central London (4 Days In the Office)
Rate: £200 - £275 per day (Paid Weekly)
Start: Immediately

Cedar have partnered with a leading contemporary Real Estate organisation who are currently recruiting for a Reconciliation Specialist to join the team on a 3 month temporary contract.

About the Role

We are looking for a Reconciliation Specialist to support our clients finance team in reconciling the Accounts Receivable ledger across multiple platforms. You will work with large data sets, ensuring accuracy and consistency in financial records.

Key Responsibilities:

✅ Reconcile AR ledger on Sage across multiple locations
✅ Investigate discrepancies and ensure financial data integrity
✅ Collaborate with finance and operations teams to resolve reconciliation issues
✅ Support testing for SAGE & OfficeRnD integration (as required)
✅ Maintain detailed documentation of reconciliation processes

What We're Looking For:

Minimum 5 years experience within a similar vacancy
Advanced Excel skills (pivot tables, VLOOKUPs, data manipulation)
Strong attention to detail and analytical mindset
Experience working with large data sets
Excellent communication skills - ability to liaise across teamsThis is a fantastic short-term opportunity for a detail-oriented finance professional to work in a fast-paced, dynamic environment.

Interested? Apply now for immediate consideration!

Please Note: Only relevant candidates will be contacted for this role

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.