Financial Analyst

Neurophos • Part-time • Remote (California, United States, US) • 2d ago

Company Description Neurophos is developing AI inference chips that are significantly faster and more energy efficient than state-of-the-art GPUs, using a proprietary Optical Processing Unit and metasurface compute architecture. This approach delivers major gains in compute density, speed, and power efficiency, directly addressing the core infrastructure challenges of hyperscale AI inference. The company has strong strategic backing, including a $110M Series A led by Microsoft and active engagements with leading hyperscalers. Neurophos collaborates with top foundries, ASIC designers, optics suppliers, and packaging partners to advance its technology and has recently demonstrated its first metasurface array compute device. The team has expanded rapidly, adding experienced leaders from major semiconductor and photonics companies, providing a dynamic environment for growth-focused professionals.
Role Description The Financial Analyst role at Neurophos is a part-time, remote position focused on supporting strategic and operational financial decision-making. Day-to-day responsibilities include analyzing financial data, building and maintaining financial models, and supporting budgeting and forecasting activities. The role involves preparing and reviewing financial reports, monitoring key performance indicators, and providing insights on revenue, expenses, and cash flow trends. The Financial Analyst will collaborate with cross-functional teams to assess business cases, support investor reporting, and help track the financial impact of product and commercial initiatives. This position is well-suited for individuals who are comfortable working independently in a fast-paced, scaling technology environment.
Qualifications

Candidates should possess strong Finance and Financial Planning skills, including budgeting, forecasting, and scenario analysis.
Candidates should possess solid Analytical Skills and experience interpreting quantitative data for decision support.
Candidates should possess knowledge of Financial Statements and Financial Reporting, with the ability to prepare and analyze income statements, balance sheets, and cash flow statements.
Candidates should possess proficiency with spreadsheets and financial modeling tools, and familiarity with accounting or ERP systems is beneficial.
Relevant qualifications such as a degree in Finance, Accounting, Economics, or a related field; professional certifications (e.g., CFA, CPA) are a plus.
Strong communication skills, attention to detail, and the ability to work effectively in a remote, distributed team environment.
Experience in high-growth technology, semiconductor, or AI infrastructure companies is preferred but not required.

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