Head of FP&A- SaaS

Vortexa
London
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Machine Learning (Recommendations, AI Stylist & Search)

Head of Analytics & Data Science

Vice President, Head of Discovery Data Science

Junior Data Engineer (Data Science)

Senior Research Data Scientist

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence and machine learning, Vortexa creates an unprecedented view of global energy flows in real-time, bringing transparency and efficiency to the energy markets and helping society.

Having secured over $60mil in funding, we are embarking on a period of rapid growth.

The role

We are looking to recruit a Head of Financial Planning and Analysis to support the Chief Financial Officer, the wider finance function and leadership team. The successful candidate will be an experienced and highly commercial finance professional with a proven track record working in a fast paced, high growth business.  Key to success will be a desire to challenge, drive improvements to reporting and accuracy, forecasting and budgeting and play a critical role in financial strategy and decision-making processes to support the company's growth objectives.

Responsibilities

  • Financial Planning and Analysis: Lead the development and maintenance of comprehensive financial models, forecasts, and budgets to provide insights into the company's financial performance and future outlook.
  • Strategic Decision Support: Collaborate with cross-functional teams to provide financial guidance and analysis for strategic initiatives, investment opportunities, and business decisions.
  • Performance Monitoring: Monitor key financial and operational metrics, analyse variances, and provide actionable recommendations to optimize performance and drive profitability.
  • Financial Reporting: Prepare accurate and timely financial reports, presentations, and dashboards for senior management, the Board, investors, and other stakeholders.
  • Business Partnering: Partner with department heads and business leaders to understand their financial needs, provide insightful analysis, and support decision-making.
  • Risk Management: Identify and assess financial risks and opportunities, develop mitigation strategies, and proactively address potential issues.
  • Process Improvement: Continuously evaluate and improve financial planning processes, tools, and systems to enhance efficiency, accuracy, and scalability.
  • M&A – support any M&A activity the company may undertake in executing its strategy.

Requirements

What you’ll bring

  • Proven experience in financial planning and analysis, including in a SaaS environment.
  • Experience of working in a VC-backed business preferable.
  • Professional certification such as CIMA, ACA, ACCA.
  • Strong analytical skills with the ability to interpret complex data, identify trends, and make strategic recommendations.
  • Proficiency in financial modelling, forecasting, and budgeting techniques.
  • Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels.
  • Advanced proficiency in Microsoft Excel and financial planning software.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Benefits

  • A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge
  • A team of motivated characters and top minds striving to be the best at what we do at all times
  • Constantly learning and exploring new tools and technologies
  • Acting as company owners (all Vortexa staff have equity options)– in a business-savvy and responsible way
  • Motivated by being collaborative, working and achieving together
  • A flexible working policy- accommodating both remote & home working, with regular staff events
  • Private Health Insurance offered via Vitality to help you look after your physical health
  • Global Volunteering Policy to help you ‘do good’ and feel better

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.