Junior Finance Executive

Holborn
2 weeks ago
Create job alert

The role:

As a Junior Finance Executive at ZTP you will be part of a small team working on the accounts of ZTP’s clients. This involves ensuing transactions are input in an accurate and timely manner. The role involves liaising directly with suppliers, and internal staff. The role may also be called to assist in the development of ZTP accounts. The role reports into the Treasury Accountant.

Main Duties & Responsibilities:

  • Maintain Purchase Ledger: Record and process all supplier invoices, ensuring accuracy and proper allocation to cost centres. Manage downloads from ZTP systems into the accounts system. Maintain client lists.

    *Maintain Creditor Accounts: Ensure creditor accounts are maintained correctly for contact details and bank accounts are verified.

    *Reconciliation: Assist in reconciling bank statements, ledger accounts and supplier statements, and help resolve discrepancies promptly.

    *Payment Processing: Help prepare electronic transfers, payments, and check payments. Ensure all payments are made within agreed credit terms.

    *Data Entry and Management: Accurately enter financial data into accounting software, maintain up-to-date records, and ensure data integrity.

    *Communication: Liaise with suppliers and internal departments to resolve billing and payment issues. Maintain effective communication to ensure smooth financial transactions.

    *Compliance: Ensure compliance with company policies and relevant regulations, i and assist with audits and provide necessary documentation and explanations as required.

    *Ad hoc Duties: Assist with other financial tasks and projects as needed.

    Experience and Skills Required:

    *Technical Skills: The role would suit a person with at least three years experience on managing ledgers and possible looking to progress on an accounting qualification
    Knowledge of Iplicit accounting software is desirable but not essential. Experience on purchase ledger is essential. Microsoft Excel skills are required.

    *Analytical Thinking: Strong analytical skills with the ability to quickly identify anomalies is essential.

    *Attention to Detail: Precise reconciliation of accounts is expected.

    *Problem-Solving: Excellent problem-solving skills to address technical issues, troubleshoot system errors, and propose effective solutions in a timely manner.

    *Communication: Strong verbal and written communication skills to effectively collaborate with internal and external contacts in a professional manner.

    *Organization and Time Management: Exceptional organizational and time management skills to handle multiple tasks, prioritize effectively, and meet deadlines in a fast-paced environment.

    *Learning Agility: Eagerness to learn and adapt quickly to change, and to assist others in their understanding.

    *Team Player: Demonstrated ability to work collaboratively within a team environment, share knowledge, and contribute to a positive and inclusive work culture.

    Education and Qualification Requirements:

    *A-Levels

    *GCSE's (English & Maths)

    *Bachelors Degree would be desired/advantageous

    Other Characteristics:

    *Willingness to accept other duties as assigned.

    *Ability to travel and to work overtime as needed.

    *Must be able to work with sensitive and highly confidential information.

    Personal Qualities:

    *Personal style that is in line with the ZTP culture, values and behaviours.

    *Act as a brand ambassador and communicate respectfully and effectively with all stakeholders across the business.

    *Structured problem solving, analysis & methodical mindset.

    *Self-motivated individual with initiative to prioritize workloads and tasks.

    *Commercial awareness.

    *Patient.

    *Creative.

    *Positive attitude to continuously improve.

    *Manage multiple projects at the same time.

    *High degree of independent judgement.

    *Resilience and adaptable to change.

    ZTP Company Benefits:

    *Competitive Compensation Package.

    *25 Days Annual Leave plus UK Public Holidays.

    *Vision Reimbursement.

    *Flu Vaccine Reimbursement.

    *EAP.

    *Nursery & Childcare Salary Sacrifice Scheme.

    *Pension.

    *Family Friendly Policies.

    *Remote Working.

    *Flexible Working Options.

    *We Work Office Membership.

    *Quarterly Team Get Togethers.

    *Recognition Scheme.

    *Referral Scheme.

    *1 Day Paid for Volunteering to Support Local Community.

    *Home Office Set Up.

    *Learning & Development Opportunities.

    *Career Pathways & Promotion Opportunities

Related Jobs

View all jobs

Interim Site Controller

Graduate / Junior Technology Consultant

Junior HSE Advisor

Graduate / Junior Application Support Developer

Financial Modelling Analyst

Bright Data Engineer Needed | London - 1st Class STEM Degree

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.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.