Senior Financial Modelling Analyst

Pro-Recruitment Group
Glasgow
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst – Payments Consulting

Data Analyst – Payments Consulting

Data Scientist AI

Senior Manager, Financial Services, Data Engineering/Modelling Lead, AI&D, Technology & Transfo[...]

Senior Data Analyst

Senior Data Analyst

Senior Financial Modelling Analyst | £68,000 - £70,000 | 12-month FTC | Fully Remote


For the UKs largest not-for-profit social enterprise, we are recruiting a Senior Financial Modelling / Planning Analyst for a 12-month FTC. This role will be key, in developing, implementing, and reviewing complex commercial bids and acquisitions and modelling long-term contracts. This role will review and support other work, and will implement modelling best practice and due diligence, advising leaders on value drivers to inform the bidding strategy and financial outlook. Partnering closely with Commercial and Operations, this role will suit someone with a strong data analytics and commercial financial modelling background who has the ability to analyse data, identify trends and engage and influence a range of stakeholders consistently.


Main Duties:

  • Deliver financial and commercial due diligence, analytics, and complex modelling, focusing on competitive tenders / auctions, mergers, acquisitions, disposals, subcontractor and direct awards
  • Embed strong financial controls and policies around modelling review and sign-off governance
  • Implement best practice in modelling across the group, support and train other staff with technical processes, modelling, and contract award processes
  • Present, and summarise complex models, risks and opportunities to senior management
  • Forge strong relationships across Finance, Operations and Commercial Bid Teams
  • Support in long-term budgeting and forecasting processes
  • Utilise modelling standards such as FAST, F1F9, Mazard, Smart, ICAEW Modelling Code, Operis, or BPM.
  • Support the Senior Financial Planning Analyst and business leaders in developing and implementing strategy


Person Specification:

  • Finance background or relevant degree, or FMVA, BIDA Financial Modeller / Data Analyst
  • Familiarity with modelling standards such as FAST, F1F9, Mazard, Smart, ICAEW Modelling Code, Operis, or BPM.
  • Experience in commercial bids, deals, or transactions
  • Financial modelling and due diligence experience either at degree level or from within professional services
  • Experience with financial modelling of large-scale contracts, pricing schedules, and business cases
  • Experience of medium and long-term financial planning, costing and option / investment appraisals
  • FP&A, budgeting, and forecasting experience
  • Advanced Excel, ideally VBA

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.