At a Glance
- Tasks: Reimagine Accounts Receivable and streamline invoicing with AI-driven systems.
- Company: Join PredictX, a leading SaaS scale-up revolutionising AI and data analytics.
- Benefits: Innovative culture, growth opportunities, and direct impact on company success.
- Other info: Freedom to innovate and learn in a supportive environment.
- Why this job: Be part of the AI revolution and shape financial strategies daily.
- Qualifications: Dynamic problem-solver with a passion for finance and data insights.
The predicted salary is between 30000 - 40000 £ per year.
Make a real difference at one of London’s foremost SaaS scale‑ups. Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we have lived and breathed AI & ML in every aspect of our product for the past decade. As an Enterprise SaaS provider, we are revolutionising critical decision‑making for many of the world’s largest businesses, including three FAANGs, by empowering them through our integrative AI technology and Predictive Analytics.
Why PredictX?
- Innovation is our DNA – we invest 50% of our revenue into R&D, driving advancements in business intelligence that empower our clients.
- Pioneering the Future – join us in crafting impactful reports and dashboards that unveil hidden trends and drive cost efficiency.
The Role
As our new Finance Assistant, you will be instrumental in ushering in the AI revolution. Your core focus will be on reimagining Accounts Receivable, deploying intelligent systems to streamline invoicing and payment processing with unprecedented speed and precision. You will partner with the Finance Operations Manager, actively identifying opportunities to integrate AI into day‑to‑day financial tasks, accelerating our path to a fully optimized and future‑proof finance department.
What Makes This Role Unique?
As a Finance Assistant, you won’t just process numbers; you will directly contribute to our company’s success. You are uniquely positioned to understand, measure, and influence the financial health and strategic direction of the entire company. Get ready to make a real impact every day.
Who We’re Looking For
We seek a dynamic problem‑solver eager to dive deep into our financial pulse, ready to be the linchpin of our financial success by transforming data into actionable insights and contributing directly to our strategic direction.
What You’ll Work On
- Accounts Receivable – generate invoices with precision, nurture client relationships to ensure swift payments, and resolve queries.
- Finance Operations – manage purchase invoices, expense claims, payroll, and bank reconciliations.
- Payment runs, maintain flawless financial records, and take part in ad‑hoc projects to enhance efficiency.
- Shape more efficient finance processes that drive the entire company forward.
Our Culture
- Freedom to Innovate – we encourage experimentation and learning, and failure is seen as a stepping stone to success.
- Direct Impact – your contributions will shape our product direction and company strategy.
Growth & Development
This role is your launchpad into finance, building a robust foundation in crucial cash flow management and broad Finance Operations. You will gain experience needed to fast‑track a career to Financial Analyst, Assistant Accountant, or even future Finance Manager roles.
Ready to help reshape the software industry? This isn’t just a job; it’s your chance to be part of the AI revolution. At PredictX, every day is a leap toward reshaping the tech landscape. It is a journey to innovate and achieve excellence.
Finance Assistant in London employer: PredictX
At PredictX, we pride ourselves on being a leading SaaS scale-up in London, where innovation and collaboration thrive. Our commitment to employee growth is evident through comprehensive training programmes and clear career progression paths, allowing you to make a meaningful impact while working with cutting-edge AI technology. Join us to be part of a supportive culture that values your contributions and encourages you to pioneer the future of data analytics.