Project Accountant

About the role

Stadler is looking for a Project Accountant to support its North America Signaling Division projects with financial oversight. You will track costs, revenues and forecasts accurately, work closely with project managers to monitor financial performance and help them make decisions, while keeping compliance with internal policies and accounting standards.

Key responsibilities

• Assist in preparing and updating Cost to Complete (CTC) estimates and compare remaining costs against budgets.
• Carry out project financial analysis, including variance investigations, job cost reporting and profitability assessments.
• Build and maintain forecasting models for project financial outcomes, cash flow and potential risks.
• Prepare internal financial reports on project performance, including monthly and quarterly summaries and ad-hoc requests.
• Manage accounts receivable: invoice clients, track payments, process progress billings and follow up on overdue amounts.
• Monitor project expenses, report spending habits to project managers and ensure costs are allocated correctly.
• Supervise financial processes such as reconciliations and monthly revenue recognition.
• Work with project managers and stakeholders to give financial insights and recommendations.
• Support budgeting, review contracts for financial terms, check compliance, and handle contract bonding and insurance topics.

Required profile

• Bachelor's degree in Finance, Auditing, Economics or a related field.
• 3+ years of relevant experience in project accounting, preferably in manufacturing, engineering, consulting or a similar project-based industry.
• Strong knowledge of project accounting principles, including job costing, revenue recognition and GAAP.
• Experience with cost-to-complete calculations, forecasting and financial reporting.
• Ability to analyse complex data, solve problems and meet deadlines in a fast-paced environment.

Required skills

• Accounting software such as QuickBooks, Sage, Deltek or ERP systems.
• Advanced Excel for modelling and analysis.