Senior Financial Modelling Analyst

Pro-Recruitment Group
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Financial Analyst

Advanced Excel - Data Analyst

Senior Credit Risk Analyst (Lead) - Consumer Lending

Senior Data Analyst Water

Senior Pricing Manager

Senior Pricing Manager

Senior Financial Modelling Analyst | £60,000 - £68,890 | 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

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.

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

🍪 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.