Reconciliations Specialist

London
10 months ago
Applications closed

Related Jobs

View all jobs

Hybrid Reconciliations Specialist - Data Integrity

Graduate Clinical Data Analyst

Snowflake Data architect

Inventory Reconciliation & Data Analyst

Senior Reconciliation & Financial Data Analyst

Data Engineer - £350PD - Remote

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

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.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.