FP&A Manager

Raft
London
11 months ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst

Business / Data Analyst

We are Raft, an AI-driven start-up that automates operations for freight forwarding, a critical part of the global supply chain. We're transforming this $200B industry's heavily manual processes from the ground up. Our customers include several of the world's top 10 freight forwarders, and many more. We recently raised $15m fromBessemer Venture Partners(LinkedIn, Twilio, Shopify),Episode 1(Zoopla, Betfair, Shazam) andDynamo(Sennder, Stord). We're named as one of the UK's most exciting AI start-ups by Tech Nation, recognized by the Mayor's International Business Programme and Innovate UK, and we've been featured inTechcrunchandBloombergas well as leading industry publicationsJOC,FreightwavesandLoadstar. We have ambitious expansion plans and are looking for future Rafters who are excited by rapid company growth, want to navigate challenging problems, and are eager to embrace responsibility.

If you geek out over SaaS metrics, dream in financial models, and want to work directly with our C-Suite to shape the future of logistics tech, this is your chance to have a massive impact.

Day to Day Responsibilities:

Money Meets Strategy:

  • Be the numbers wizard behind our growth story - from crafting our financial narrative for Series C to spotting the next big revenue opportunity
  • Turn complex data into crystal-clear insights that our CEO and leadership team can act on
  • Own our SaaS metrics (ARR, NRR, CAC, LTV) and make them sing
  • Build financial models that don't just predict the future - they help create it

Business Impact:

  • Work shoulder-to-shoulder with our C-Suite to drive decisions that matter
  • Partner with our Data and RevOps teams to uncover hidden growth opportunities
  • Lead business reviews that spark action, not yawns
  • Be the strategic brain our leaders turn to when facing tough choices

Financial Leadership:

  • Create dashboards and reports that tell compelling stories, not just show numbers
  • Automate the boring stuff so you can focus on strategic thinking
  • Build the financial foundation for a company that's reshaping global trade

What You Bring to the Table

  • Demonstrable experience crushing it in B2B SaaS finance
  • Been through the VC/PE funding rodeo before
  • Financial modeling skills that would make Wall Street jealous
  • Deep understanding of what makes SaaS businesses tick
  • Data science chops are a big plus
  • Experience with fundraising (bonus if you've helped land a Series B and beyond)

The X-Factor:

  • You're a self-starter who doesn't need hand-holding
  • You can translate complex ideas into simple language
  • You thrive in the controlled chaos of high growth
  • You want to work from our buzzing London HQ 

Why You'll Love It Here

  • Shape the financial strategy of a company that's actually changing the logistics industry
  • Work directly with seasoned leaders who've scaled major tech companies
  • Be part of a truly international team solving global challenges
  • Get your hands dirty with cutting-edge AI and automation tech
  • Enjoy the stability of a well-funded company with the excitement of a startup

Apply Because You Want To...

  • Be the financial brain behind a logistics tech revolution
  • Work with a global team that's as ambitious as you are
  • Join a company where AI isn't just a buzzword - it's in our DNA
  • Scale something meaningful in a $19 trillion industry
  • Learn and grow alongside some of the sharpest minds in tech

Looking for a cushy corporate gig where you'll push papers and tweak spreadsheets? This isn't it. But if you're ready to roll up your sleeves and help scale a company that's transforming how global trade works, we should talk.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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.

Careers Jobs

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.

🍪 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.