Member of Technical Staff, Finance Research

Role Overview
Advance AI-powered financial reasoning by designing rigorous ways to measure and improve how models and agentic systems perform across complex enterprise finance workflows. This full-time research role combines large language models, agentic systems, and finance expertise to shape the next generation of enterprise AI.

Key Responsibilities
Design, own, and improve evaluation frameworks for AI agents in financial domains, including benchmark suites, scoring methods, quality rubrics, and research-grade evaluation protocols. Conduct applied research on financial reasoning, decision-making, and workflow automation, translating findings into measurable AI performance improvements. Develop and curate datasets, test cases, and benchmark environments that reflect real-world enterprise finance challenges.

Partner with AI researchers, machine learning engineers, and product teams to evaluate, validate, and improve finance-focused models and agentic systems. Analyze model behavior, failure modes, and performance trends to produce actionable insights and inform research priorities. Produce internal research findings, technical reports, and best practices that deepen understanding of AI capabilities in finance. Apply emerging advances in AI, machine learning, financial modeling, evaluation science, and agent architectures to research initiatives.

Help establish research standards and thought leadership for enterprise financial intelligence and AI evaluation. Promote scientific rigor, experimentation, and collaborative innovation in a distributed research environment. Qualifications
Advanced degree in Finance, Economics, Financial Engineering, Quantitative Finance, or a related field. A PhD is strongly preferred; an MBA, CFA, or equivalent expertise will also be considered. Deep expertise in at least one finance area, such as investment research, capital markets, risk management, corporate finance, accounting, or financial analysis.

Demonstrated experience conducting rigorous research, developing analytical methods, or building evaluation frameworks in finance or related quantitative disciplines. Ability to turn ambiguous real-world financial problems into measurable research questions and evaluation criteria. Exceptional analytical and critical-thinking ability, with experience solving complex multidisciplinary problems. Excellent written and verbal communication skills, including experience producing research reports, technical documentation, or thought leadership content.

Experience working in highly collaborative, cross-functional environments. Relevant skills include financial research, enterprise AI benchmarking, and agentic finance workflows. Work Terms
Full-time, remote role. Compensation
Annual compensation range: $400, 000 to $800, 000.