Master's degree in Finance, Economics, Business Administration, or a related quantitative field, or equivalent practical experience.
Experience with measuring and optimizing Large Language Models (LLMs) for financial applications.
Demonstrated ability to bridge finance and technical roles effectively.
Experience in breaking down complex workflows into actionable tasks and evaluation standards.
Strong cross-functional communication skills, particularly in collaboration with technical teams.
Proficiency in programming and evaluating machine learning models, especially in financial contexts.
Responsibilities
Set the Finance data strategy by mapping workflows and tools into a use-case taxonomy.
Design tasks and quality assurance rubrics for high-quality Finance data from various sources.
Steer data priorities by analyzing model failures and stress-testing workflows.
Build evaluations based on industry benchmarks to assess data strategy success.
Recruit and guide subject matter experts (SMEs) to enhance domain authority and data quality.
Benefits
Opportunity to work in a cutting-edge AI environment at Google DeepMind.
Flexible working location options between Mountain View, CA, and New York, NY.
Access to a collaborative and innovative team focused on financial AI solutions.
Potential for professional growth in a rapidly evolving field.
Full Job Description
info_outline 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.
Minimum qualifications:
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.
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
