Commercial Finance Director

Swissklip
Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Director, International MROI Data Science Lead

Director, International MROI Data Science Lead (Tadworth)

Commercial and Operations Data Analyst

Retail Category Data Analyst

Retail Category Data Analyst

Senior Data Engineer, Databricks, Home Based

Swissklip is one of the fastest-growing and most innovative DTC brands in the world (we might be biased) though we hit 8-figures in 2 years and are racing beyond that now! The business is currently US-focused with international plans, and the management team is spread across the US, UK, and Western Europe. We’re a team of data-first, curated e-commerce experts (multiple successful projects with $700M+ in collective experience) and have formed a self-improvement, driven culture of A-players in their respective fields.


We’re scrappy and professional.


We’re hungry and measured.


We’re sure of our direction and flexible to change.


We're going head to head with the 1% of DTC King Kongs. And our mission? To conquer the 9-figure revenue mark and make our dent on the personal care industry while we're at it.


Our product arsenal includes top-selling products like toenail clippers for thick nails (because regular ones just don't cut it), anti-fungal topicals, teeth whitening foams, and more - we're the secret weapon for the 50+ demographic in the U.S. who want to look and feel their best. And while we know some of the products we sell aren’t the ‘sexiest’ products to sell, there’s a genuine demand currently underserved by ineffective solutions in the market.


Who We're Looking For


Reporting directly to the CEO, we're looking for a person looking to step into aCommercial Finance Directorrole with a strong background in D2C ecommerce. Currently, there isn't a data analyst or commercial analyst in place, but there are data tools and automated reporting already set up that the team lives by. The business is entirely data first, and we want to be even better with what we're analysing.


We're a startup, so there's no hiding from this fact: your role will demand a balance of both hands-on financial analysis and strategic thinking. You’ll navigate detailed data work while shaping high-level strategies to drive business growth. To give you a clearer picture of the role’s scope, here are some example questions we might expect you to address:


Marketing & Customer Insights

  • How do we allocate spend between marketing channels to be more efficient? What factors should we measure performance by and why?
  • Is there better retention in one channel than another and how should the business change its marketing execution strategies?
  • How do we set up to track customer lifetime value and use it in a way that’s helpful to the business? Can you execute that and drive the use of it through the business?
  • How can we leverage customer service data throughout the business in an effective way?


Pricing and Performance Optimization

  • What is the optimal pricing of our products when considering conversion and operating margin?
  • At what level should we set financial KPIs/targets across the business and track them against targets?
  • What other parts of the business are we not leveraging the data available in the best way to drive performance either on the topline or bottom line? Could you figure out a way to show its value without needing to invest heavily in a new tool to do it?


Forecasting and Financial Operations

  • Are we forecasting sales stock and purchases in the right way? What way should it be and why?
  • Where can we improve our cashflow to give the business security? You should know how and where to look for efficiencies in the financials to do this.
  • What’s the efficiency of taking financing, when/if should we take one, and whether or not there would be a return on this investment?
  • What checks and balances can you put in place to ensure financial confidence in the business?


This role is neither limited to finance, nor data but you'll have a strong involvement in both. It would also touch on every part of the business that deals with data, wherever you think you could add value. You may not have done it all before; in fact, it’s highly likely you've not done it all before, but reading those questions above you should pique your interest and you should have a good idea already about what you'd need to get access to so you can figure it out.


Further responsibilites would include


Data Integrity

Maintain and improve the data tools we run, ensuring it scales efficiently as the business grows and remains adaptable to evolving data needs.


Dashboard Maintenance & Enhancement

Oversee the creation and upkeep of dashboards, ensuring they provide accurate, real-time insights for decision-making across departments.


Financial Controls & Compliance

Implement checks and balances to ensure financial accuracy, prevent errors, and maintain compliance with accounting standards.


Performance Monitoring & Reporting

Develop systems for monitoring financial performance and prepare reports for leadership to support strategic decision-making and board communication.


Process Automation

Identify opportunities to automate repetitive financial and data tasks to improve efficiency and reduce manual effort.



What you need to bring to the table

  • Experience:Proven track record as a analyst or in a finance/commercial finance role or equivalent in an ecommerce D2C physical product business. This is non-negotiable - your must have previous experience in a business which ships physical products to consumers (i.e. not digital products, and not B2B)
  • Data Enthusiasm:You eat excel for breakfast. You're probably the person people go to for excel help. You ideally have experience with Power BI, Tableau or SQL also.
  • Financial Literacy:You know how to read P&Ls, balance sheets, cashflow statements.
  • Forecasting:You've spent time building forecasting models on micro and macro parts of the business.
  • Leadership Skills:While this role won't start with any direct reports, you'll likely have been a manager before. You'll be part of a business where you'll be leading the adoption of new initiatives, new reports and new projects. You'll need to be excellent at conveying ideas and getting everyone on board with your ideas.
  • Restless Resilience:You give a s***, you care, and you get things done.


Why You'll Love Working with Us

  • Fast-Paced Environment:We move quickly and adapt even faster- no red tape here.
  • Talented Team:Join a group of passionate professionals who are as fun as they are skilled.
  • Flexibility:Work from wherever you feel most comfortable - your results matter more than your location.
  • Make an Impact:Your work will directly influence our brand's success. You're not a small piece of a big machine, in fact you're not even part of the machine, you're going to helpbuildthe machine.
  • Hired as a contractor:Tax-efficient working for you, and this can be discussed.
  • Embrace Innovation:We welcome fresh ideas and creative risk-taking.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.