Merkle Science

Merkle Science

Director of Finance

Canada · Director

Sponsorship not specifiedDetected 50 days ago
Stakeholder ManagementFinancial AnalysisAccountingForecastingBudgetingExcelFP&AERPLeadershipCommunicationProblem Solving

About the role

  • has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon.
  • The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
  • The Director of Finance at Merkle Science will be responsible for overseeing all financial operations, ensuring financial stability, and supporting strategic decision-making.

Responsibilities

  • Manage the preparation of financial reports, budgets, forecasts, and regulatory requirements.
  • Develop and implement financial strategies to support the company's growth and profitability.
  • Lead the budgeting process and quarterly forecasting updates.
  • Monitor and analyse budget performance and implement corrective actions as necessary.
  • Provide detailed financial analysis and modelling to support strategic initiatives.
  • Develop and maintain policies and procedures to ensure financial governance.
  • Partner with the executive team to develop and execute long-term financial strategies.
  • Lead and mentor the finance team, fostering a culture of high performance and continuous improvement.
  • Manage relationships with external auditors, investors, and financial institutions.

Requirements

  • Proficiency in financial software and tools, such as ERP systems, Excel, and financial modeling.

Nice to have

  • Bachelor's degree in finance, accounting, or a related field
  • MBA or CPA preferred.

Skills

  • Strong knowledge of financial management, accounting principles, and financial regulations.

Compensation

  • ❤️ Well Being, Compensation and Benefits

Benefits

  • Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
  • Education and Experience:

This listing is sourced directly from Merkle Science's careers page and normalized into a canonical job model.