Finance Director - Malta
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Lead financial discovery projects for the Corporate, External, and Legal Affairs organization, conducting deep research and analysis on large datasets, ensuring data accuracy for regulatory compliance, and providing reporting to business partners. Requires a master's degree plus two years of finance or accounting experience, or a bachelor's degree plus four years. Key skills include financial analysis, data management, database querying, and familiarity with AI tools. Based in the U.S. with higher pay ranges for San Francisco Bay Area and New York City. Salary $97,600–$188,400 nationally; $125,000–$206,400 in specified metros.
Written from this posting by Neural Jobs AI. The full description is below.
The Central Finance Team directly supports various Corporate Services, including Microsoft’s Corporate, External, and Legal Affairs (CELA) organization. This team provides reporting and analysis to inform financial and business decisions, supports litigation matters, and ensures compliance with regulatory entities.
We are seeking a Senior Finance Manager, Legal Financial Discovery, to lead critical financial discovery projects for CELA. This role brings a combination of financial reporting, data analytics, project management, and research skills to provide our business partners with critical information. Precision, accuracy, and timeliness are crucial, as the reporting will be used for regulatory and compliance purposes.
Ideally, you excel in performing detailed research and reporting from large datasets, as well as leverage extensive attention to detail and a willingness to learn complex reporting criteria to meet business needs. Having the drive to understand project requirements and execute them on tight timelines is key. We work hard on exciting projects that support CELA executives and strive for a team culture that values diverse perspectives, as we are a collaborative, supportive, and fun team!
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Required/Minimum Qualifications
Additional or Preferred Qualifications
#Finance
Financial Analysis IC4 - The typical base pay range for this role across the U.S. is USD $97,600 - $188,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $125,000 - $206,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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