At a Glance
- Tasks: Lead financial forecasting and analysis using AI to drive business decisions.
- Company: Join nShift, a global leader in cloud delivery management solutions.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Dynamic, fast-paced environment with a focus on innovation and automation.
- Why this job: Shape the future of shipping while working with cutting-edge technology.
- Qualifications: Strong financial modelling skills and experience with SaaS metrics.
About Us
nShift is the leading global provider of cloud delivery management solutions (SaaS), enabling the frictionless shipment and return of almost one billion shipments across 190 countries each year. We are headquartered in London and Oslo and have over 460 employees across offices in Sweden, Finland, Norway, Denmark, the United Kingdom, Poland, the Netherlands, Belgium, and Romania. Our software is used by many of the world’s leading e-commerce, retail, manufacturing, and 3PL shippers due to having over 1000 carriers integrated into our platform, nearly 3 times more than our competitors! If you buy goods online, there is a strong chance that nShift has powered that delivery, so come and join us as we shape the future of shipping, one frictionless journey at a time.
About You
We are owned by Francisco Partners and Marlin Equity Partners — two specialist technology private equity investors. For the right candidate, this is a genuine differentiator: you'll work in a high-visibility finance function where rigour, analytical depth, and board-ready output are the standard. Expect regular interaction with our investors, exposure to PE-grade financial reporting, and a structured, fast-paced environment. You are a commercially minded professional who combines deep financial expertise with a genuine enthusiasm for AI and automation. You see AI not as a buzzword but as a practical lever to transform forecasting, reporting, and decision-support processes and you’re excited to lead that transformation in a PE-backed SaaS business. You have experience in roles combining financial and data analysis with a commercial mindset. This may be from an FP&A, banking, or data-focused management consultancy environment. Or you might be someone who excels at telling a story with financial data, and who has the technical knowledge to work with R&D, Analytics, and external data consultants to build the infrastructure to support it.
Key Responsibilities
- Revenue & ARR Forecasting: Own the ARR waterfall model (new, expansion, contraction, churn) with a particular focus on retention dynamics and forward revenue visibility. Partner with RevOps to translate pipeline conversion, quota attainment, and bookings performance into a robust revenue forecast. Develop driver-based forecasting models — incorporating AI and machine learning techniques — that link sales activity, platform volumes (the number of parcels our customers ship), and pricing dynamics to ARR and cash outcomes. Provide clear analysis on revenue quality, cohort behaviour, and unit economics.
- Planning, Budgeting & Long-Range Modelling: Lead the annual budgeting process and rolling monthly forecasts across revenue, opex, headcount, and cash. Own workforce planning and cost modelling, ensuring alignment between hiring plans, productivity assumptions, and EBITDA targets. Own and continuously enhance our fully integrated financial forecast model, embedding AI-driven automation and other software tools to reduce manual effort and improve forecast accuracy. Support long-range planning and value creation modelling aligned to the PE investment thesis. Lead financial modelling for acquisition opportunities and support post-acquisition integration modelling.
- Cash Flow & Performance Discipline: Own cash flow forecasting and working capital visibility in collaboration with Treasury and Accounting. Track and report on key PE performance metrics including growth, EBITDA, cash conversion, and leverage. Identify risks early and propose mitigation actions to protect forecast accuracy and EBITDA delivery.
- Management, Board & Investor Reporting: Produce monthly management packs and board materials — leveraging AI-assisted analytics where appropriate — including clear variance analysis, KPI tracking, and forward-looking commentary. Support quarterly investor reporting and lender updates where applicable. Present financial insights confidently to senior stakeholders.
- Systems & Continuous Improvement: Drive improvements in FP&A processes, automation, and reporting infrastructure. Leverage modern data tools (e.g., Snowflake, Power BI, Looker) to improve forecasting accuracy and transparency. Champion the adoption of AI and intelligent automation across FP&A and the wider Finance organisation, from scenario modelling and anomaly detection to automated reporting and natural-language insight generation. Stay current on emerging AI tools and LLM capabilities relevant to finance, evaluating and piloting new solutions that can accelerate insight delivery. Ensure data integrity across financial and operational reporting.
Competence and Experience
Required:
- Strong understanding of SaaS metrics and revenue mechanics (ARR waterfall, retention, cohort analysis, Rule of 40).
- Advanced financial modelling skills, including integrated three-statement modelling and driver-based forecasting (in Excel or other tools).
- Familiarity with modern BI stacks, working directly with large datasets, and hands-on use of AI/LLM-based tools (e.g., Claude) for financial analysis.
- Ability to translate complex data into clear commercial insight for non-finance stakeholders.
- Demonstrated experience applying AI, machine learning, or intelligent automation tools to finance workflows (e.g., forecasting, anomaly detection, automated reporting).
- Comfortable working in a fast-paced, accountable environment where forecast accuracy and delivery matter.
- You are hands-on and willing to work in a small but fast-paced Strategic Finance team.
Preferred:
- ACA, ACCA, CIMA, CFA or equivalent qualification.
- Experience operating in a performance-driven, PE-backed or high-growth environment.
- Experience supporting M&A transactions and integration modelling.
- Exposure to debt facilities and covenant reporting.
At nShift we believe in embracing diversity in all forms and fostering an inclusive environment for everyone which we believe is essential for our continued success. We’re an equal-opportunity employer which means that all applicants will receive consideration for employment without regard to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity, or disability status.
FP&A Manager in London employer: nShift
At nShift, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London headquarters provides a vibrant environment where employees can thrive, with ample opportunities for professional growth and development in the fast-evolving SaaS landscape. Join us to be part of a forward-thinking team that values diversity and embraces cutting-edge technology, ensuring your contributions make a meaningful impact in shaping the future of delivery management.
StudySmarter Expert Advice🤫
We think this is how you could land FP&A Manager in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like nShift. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace FP&A Manager in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to nShift.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on nShift's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at nShift
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with nShift.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at nShift will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former nShift employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
