Location: Glasgow
Monday-Thursday 08:30-17:00 and Friday 08:30-16:00
Competitive
Working Hours: 37
Location: Glasgow
Closing Date: 05/06/2026
Job Category: Finance
Company: Group
Contractual Base: Fenick House (Hamilton)
Job Introduction
Join a leading utilities company that champions innovation and service excellence. At Last Mile, we take pride in delivering high-quality solutions across the multi-utility sector. Our Finance team is growing, and we're excited to welcome a talented Financial Modeller to join us.
As a Financial Modeller, you’ll be part of a hybrid role that combines financial modelling expertise with advanced data science techniques to provide comprehensive financial insights and predictive analytics. The ideal candidate will have a strong background in both finance and data science, with the ability to leverage data-driven approaches to enhance decision‑making processes.
You will be responsible for owning and pro‑actively maintaining the Group financial model, delivering critical insight and enabling the business to make informed strategic decisions. As the sector is expecting an unprecedented level of investments in the coming years, this is an exciting opportunity to help shape and make a real impact to the business.
What’s in it for you as a Financial Modeller:
* 25 days holiday, increasing after 2 years by 1 day each year up to 30 days, plus 9 public holidays
* Discretionary bonus
* EV and ULEV salary sacrifice scheme (subject to minimum length of service)
* Cycle to work salary sacrifice scheme
* Up to 7% employer pension contribution
* Life assurance (x4 annual basic salary)
* Retail, travel and leisure discounts via our MilesMore benefits platform
* Refer a friend incentive
* Stream – Financial wellbeing platform
* Employee assistance programme
* Flexible start and finish times for eligible roles*
* Private medical insurance*
* Company sick pay*
*Some of our benefits are only applicable when you have successfully completed your probation period*
Your responsibilities as a Financial Modeller:
* Developing and maintaining complex financial models to facilitate the accurate and timely consolidation of all financial data from within the group, demonstrating their impact on our financial and financing ratios and overall valuation of the business
* The candidate should be able to gather data from various sources and support in the production and maintenance of data architectures such as databases and other processing systems that populate the financial model.
* Utilise machine learning algorithms and statistical methods to analyse large datasets.
* Presenting data and modelling results to a variety of senior internal and external stakeholders.
* Work alongside external stakeholders on a regular basis in developing valuation reviews.
* Rigorously identifying and resolving any inconsistencies or discrepancies in financial data/modelling, with a continuous improvement mindset, always looking for ways to enhance data quality, efficiencies and reliability of data.
* Supporting the Group Finance Team in the preparation of group-level financial reports, including board presentations and external reporting requirements.
* Participating in financial planning and forecasting initiatives to support the group's strategic goals.
* Must maintain a good knowledge of the changes to the price regulatory model.
* Leading on financial analysis for shareholders, as required.
Candidate Requirements:
Experience / Knowledge:
* Experience building complex financial models over long‑term planning horizons, ideally within a financial institution, regulated utility or similar organisation with a complex capital structure.
* Ability to analyse large volumes of financial data to identify trends, using statistical methods and key financial and non‑financial performance indicators.
* Proven experience gathering requirements from a range of stakeholders and incorporating these into financial models.
* Confident presenting data to a variety of stakeholders, including senior leaders, and able to respond to detailed queries.
* Advanced Excel skills including use of MATCH and INDEX, debt modelling, multi‑level data structures, output design and a strong understanding of DCF valuation and sensitivities.
* Strong programming skills in Python, R or similar.
* Experience working with machine learning techniques and statistical analysis.
Qualifications
* Bachelor’s degree in Finance, Economics, Data Science, Statistics, or a related field. Master’s degree preferred.
* CFA or Chartered Accountancy qualification preferred.
At Last Mile, we are proud to be an equal opportunities employer. We consider all applications solely on the basis of skills and experience and actively encourage candidates from all backgrounds to apply.
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