The Finance Data & Automation Manager will be responsible for overseeing the integration of data analytics, automation, and machine learning technologies to enhance financial processes and decision-making. This role requires a strategic thinker with a strong background in finance, data science, and technology.
What will your job look like?
Lead the development and implementation of data-driven financial strategies.
Oversee the automation of financial processes to improve efficiency and accuracy.
Utilize machine learning models to forecast financial trends and identify opportunities for efficiencies.
Collaborate with cross-functional teams to integrate data analytics into business operations.
Ensure compliance with financial regulations and standards.
Manage and mentor a team of finance professionals and data scientists.
Develop and maintain financial dashboards and reporting tools.
Stay updated with the latest trends and technologies in finance and data science.
What will your job look like?
Lead the development and implementation of data-driven financial strategies.
Oversee the automation of financial processes to improve efficiency and accuracy.
Utilize machine learning models to forecast financial trends and identify opportunities for efficiencies.
Collaborate with cross-functional teams to integrate data analytics into business operations.
Ensure compliance with financial regulations and standards.
Manage and mentor a team of finance professionals and data scientists.
Develop and maintain financial dashboards and reporting tools.
Stay updated with the latest trends and technologies in finance and data science.
Requirements:
Bachelors degree in Finance, Accounting, Data Science, or a related field; MBA or relevant advanced degree preferred.
Proven experience in finance management, data analytics, and automation.
Strong understanding of machine learning algorithms and their application in finance.
Proficiency in data analysis tools (e.g., Python, R, SQL) and financial software.
Excellent leadership, communication, and project management skills.
Ability to work in a fast-paced, dynamic environment.
Bachelors degree in Finance, Accounting, Data Science, or a related field; MBA or relevant advanced degree preferred.
Proven experience in finance management, data analytics, and automation.
Strong understanding of machine learning algorithms and their application in finance.
Proficiency in data analysis tools (e.g., Python, R, SQL) and financial software.
Excellent leadership, communication, and project management skills.
Ability to work in a fast-paced, dynamic environment.
This position is open to all candidates.
