Accounts Receivable Assistant

Guildford
2 weeks ago
Create job alert

About Talogy

We are Talogy. The talent management experts. We craft solutions that screen, select, develop, and engage talent worldwide. By uniting the leading psychologists, data scientists, developers, and HR consultants we bring the power of psychology and technology together so you can make the best data-driven people decisions. With more than 30 million assessments delivered each year in more than 50 languages, we help clients discover organizational brilliance.

About the Role

The Accounts receivable assistant at Talogy is a core contributor who supports the end-to-end accounts receivable process, providing accurate and timely processing of invoices distribution, collections, and customer account reconciliations. The person in this role works closely with various departments and external vendors to maintain strong relationships for delivering a core aspect of our financial operations.

This role is a full-time permanent position, (Apply online only), Monday to Friday, although flexible working hours would be considered on request. This role can be performed remotely, however proximity to our Guildford office is preferred so that working from the office can be done on a regular basis (eg once a week).

Role Responsibilities

The Accounts receivable assistant role is primarily responsible for:

  • Sales invoicing

    • Prepare and issue sales invoices to customers promptly, liaising with the internal teams to ensure that the billing is complete and on time.

    • Updating/Maintaining the CRM with the relevant invoicing information.

    • Collating information and raising monthly or ad-hoc expenses invoices to specific clients

    • Setting up new clients on the system and ensuring all documentation with is provided and correct.

  • Credit Control – Monitor and chase overdue payments from customers.

  • Respond to and resolve queries relating to customer inquiries regarding invoices, statements, and payment-related issues in an accurate and timely manner.

  • Provide team cover on reconciliation of bank accounts.

  • Perform general finance administrative tasks, such as roll forward of excel spreadsheets for weekly bank and cash reporting

  • Assist with collating information for the external auditors as requested.

  • Undertake other ad-hoc duties as required.

    Knowledge, Skills and Experience Requirements

    Essential:

  • At least one year experience of data entry within a finance team or in an administrative role

  • Attention to detail

  • Good MS Excel and Word skills

  • Good communication skills with internal and external individuals

  • Excellent organisation and time management skills

  • Ability to demonstrate working to deadlines successfully

    Desirable:

  • Use of accounting system NetSuite.

    Benefits

    Talogy offers a variety of competitive workplace benefits, including financial planning support, time off benefits, employee assistance programs, medical cover and participation rewards. We have a vibrant social culture, and we provide opportunities for employees to engage in volunteering and charity activities

Related Jobs

View all jobs

Senior Product Engineer (Backend)

Senior IT Sales Account Manager - Solutions, Cloud, Data, Cyber

Senior IT Sales Account Manager - Solutions, Cloud, Data, Cyber

Snr Consultant AI/ML, Tech & Industry

Affiliate Account Executive

Java Engineering Lead, Vice President

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.