Finance Associate: AP & Payroll (Hybrid, EMI Options)

Finance Associate: AP & Payroll (Hybrid, EMI Options)

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
HIVED Ltd

At a Glance

  • Tasks: Manage accounts payable, daily reconciliations, and ensure accurate driver payroll.
  • Company: Fast-growing climate and logistics startup with a sustainable vision.
  • Benefits: Hybrid work model, EMI options, and a chance to make a difference.
  • Other info: Collaborative environment with opportunities for growth in a dynamic industry.
  • Why this job: Join a mission-driven team focused on sustainability and innovation.
  • Qualifications: Experience in finance and strong attention to detail.

The predicted salary is between 30000 - 40000 £ per year.

HIVED Ltd in London is seeking a Finance Associate to manage accounts payable, perform daily reconciliations and ensure accurate driver payroll. You will work closely with the Head of Central Finance and support the wider finance team to keep financial data immaculate and payments on time.

We’re a fast‑growing climate and logistics startup building the first sustainable parcel network, backed by leading investors, with a 100% electric fleet and a strong focus on process improvement and data.

Finance Associate: AP & Payroll (Hybrid, EMI Options) employer: HIVED Ltd

At HIVED, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a collaborative environment where innovation thrives. Join us in revolutionising the logistics industry while enjoying the benefits of working with a passionate team dedicated to sustainability and excellence.

HIVED Ltd

Contact Details:

HIVED Ltd Recruitment Team

We think you need these skills to ace Finance Associate: AP & Payroll (Hybrid, EMI Options)

Accounts Payable Management
Payroll Processing
Daily Reconciliations
Financial Data Management
Attention to Detail
Process Improvement
Data Analysis