Finance Expert Lead, Gemini Data, DeepMind

Google LLC; Mountain View, New York (CA, NY); Hybrid; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind’s Gemini Data team seeks a Finance Expert Lead to shape our foundational data strategy for the financial sector, mapping complex workflows and identifying critical areas for model enhancement.

You will curate high-quality data by designing tasks and rubrics, and working with researchers to ensure coverage, realism, and accuracy across vendors, customers, and synthetic pipelines.

Qualifications

• Master's degree in Finance, Economics, Business Administration, a related quantitative field, or equivalent practical experience.
• Experience measuring the performance of LLMs or generative AI tools and optimizing them for financial use cases.

Responsibilities

• Set the Finance data strategy by mapping workflows and tools into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and sourcing pipelines.
• Create high-quality Finance data by designing tasks and rubrics, and quality assurance for datasets from vendors, customers, and synthetic pipelines for correctness, realism, and coverage to close gaps.
• Steer data priorities using model failures by reproducing reported losses and stress-testing checkpoints on real workflows to identify missing domain knowledge, broken conventions, and false assumptions.
• Build Finance evaluations by assessing industry benchmarks to measure data strategy success, and advise cross-team evaluation efforts on domain coverage and realism.
• Scale expertise by recruiting and guiding subject matter experts (SMEs), acting as the domain authority to enforce vendor quality, and converting Googler expert contributions into usable training and evaluation data.

Skills

LLM evaluation

Cross-disciplinary

Financial domain knowledge

Data strategy

Education

Master's degree in Finance, Economics, Business Administration, or related field

Job description

Finance Expert Lead, Gemini Data, DeepMind

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

• Master's degree in Finance, Economics, Business Administration, a related quantitative field, or equivalent practical experience.
• Experience measuring the performance of Large Language Models (LLMs) or generative AI tools and optimizing them for financial use cases.

Preferred qualifications:

• Demonstrated dual expertise bridging both fields, such as transitioning from a direct financial professional into a technical role or vice versa.
• Experience breaking down complex professional workflows into concrete tasks, evaluation rubrics, and quality standards that can be used to train and evaluate models.
• Experience prioritizing capabilities and developing a strategic point of view on how advanced AI models can unlock value for financial professionals.
• Excellent cross-functional communication skills, with experience collaborating closely with technical partners.
• Strong technical and research capabilities, including proficiency in programming evaluating machine learning models, and applying Large Language Models to complex financial workflows.

About the job

At Google DeepMind, we are expanding Gemini’s frontier AI capabilities into highly specialized professional domains. We are seeking a Finance Expert Lead to shape our foundational data strategy for the financial sector. In this role, you will apply your deep domain knowledge to map complex Finance workflows, identify critical areas for model enhancement, and curate the high-quality data necessary to make Gemini the ultimate AI assistant for Finance professionals.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Set the Finance data strategy by mapping workflows and tools into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and sourcing pipelines.
• Create high-quality Finance data by designing tasks and rubrics, and quality assurance for datasets from vendors, customers, and synthetic pipelines for correctness, realism, and coverage to close gaps.
• Steer data priorities using model failures by reproducing reported losses and stress-testing checkpoints on real workflows to identify missing domain knowledge, broken conventions, and false assumptions.
• Build Finance evaluations by assessing industry benchmarks to measure data strategy success, and advise cross-team evaluation efforts on domain coverage and realism.
• Scale expertise by recruiting and guiding subject matter experts (SMEs), acting as the domain authority to enforce vendor quality, and converting Googler expert contributions into usable training and evaluation data.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.