Financial Analyst at The Allen Institute for AI

Seattle, Washington, United States

The Allen Institute for AI Logo
$70,560 – $105,840Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Nonprofit, Artificial Intelligence, ResearchIndustries

Requirements

  • Bachelor’s degree in Finance, Accounting, or a related field
  • 3-5 years of related experience
  • Strong proficiency in Microsoft Excel
  • Experience with financial software (preferably Sage Intacct and Workday Adaptive Planning), data visualization tools, and grant tracking systems
  • Solid understanding of fund accounting, grant budgeting, and compliance (including government funding regulations such as Uniform Guidance)
  • Highly organized and detail-oriented, with the ability to manage multiple workstreams and deadlines
  • Excellent interpersonal and communication skills; ability to translate financial data for non-finance stakeholders
  • A positive attitude and a strong customer service orientation
  • Commitment to high professional and ethical standards
  • Mission-driven, detail-oriented with strong grants experience and strong analytical skills
  • CPA, CFA, or progress toward certification (preferred)

Responsibilities

  • Assist with organizational budgeting, forecasting, and scenario planning
  • Analyze financial data to support strategic planning and decision-making
  • Prepare internal financial reports, dashboards, and variance analyses for leadership and the board
  • Support the annual budget process and quarterly forecast updates
  • Develop and maintain financial models to track program costs, grant performance, and organizational sustainability
  • Track and report on grant expenditures, ensuring timely, accurate, and compliant reporting to funders
  • Monitor restricted vs. unrestricted funds, ensuring proper allocation and adherence to grant agreements
  • Collaborate with program and development teams to build grant budgets, monitor spending, and ensure funder compliance
  • Help ensure compliance with internal financial policies and external reporting requirements
  • Contribute to the improvement of financial systems, tools, and processes to enhance reporting and efficiency

Skills

FP&A
Budgeting
Forecasting
Scenario Planning
Financial Analysis
Financial Reporting
Variance Analysis
Dashboards
Grants Management
Nonprofit Compliance

The Allen Institute for AI

Advances AI through research and engineering

About The Allen Institute for AI

The Allen Institute for Artificial Intelligence (AI2) focuses on advancing artificial intelligence through research and engineering. It develops technologies that improve machine reasoning, common sense for AI, and language modeling. AI2 works on various projects, such as AllenNLP for natural language processing and EarthRanger for environmental monitoring. Unlike for-profit companies, AI2 operates as a non-profit, relying on grants and donations to fund its initiatives. This allows them to provide their research and tools to the public for free, promoting collaboration in the AI field. The goal of AI2 is to tackle significant scientific and engineering challenges to benefit society.

Seattle, WashingtonHeadquarters
2014Year Founded
N/ACompany Stage
AI & Machine LearningIndustries
201-500Employees

Benefits

Medical
401(k)
Visa Sponsorship
Time off
Catered meals & free snacks
Training & development
Tuition reimbursement
Remote & hybrid work options

Risks

Competition from OpenAI's QwQ-32B model may reduce AI2's market influence.
AI2's reliance on grants poses financial risks during economic downturns.
Open-source models may face intellectual property risks and misuse.

Differentiation

AI2 focuses on open-source models, promoting transparency and collaboration in AI development.
AI2's projects like AllenNLP and Semantic Scholar address diverse scientific and societal challenges.
AI2 operates as a non-profit, relying on grants and donations for funding.

Upsides

AI2's open-source models attract researchers, enhancing collaboration and innovation.
Tülu3 and OLMo-2 models position AI2 as leaders in open-source AI.
AI2's multimodal models meet the demand for integrated data processing in various fields.

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