Member of Technical Staff, Finance Research

Responsibilities

• Design, own, and evolve evaluation frameworks for AI agents operating in financial domains, including benchmark suites, scoring methodologies, quality rubrics, and research-grade evaluation protocols.
• Conduct original research on financial reasoning, decision-making, and workflow automation and translate findings into measurable improvements in AI system performance.
• Develop and curate datasets, test cases, and benchmark environments representing real-world enterprise finance challenges.
• Collaborate 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 generate actionable insights and guide research priorities.
• Publish internal research findings, technical reports, and best practices related to AI capabilities and financial intelligence.
• Stay current with advances in AI, machine learning, financial modeling, evaluation science, and agent architectures and incorporate relevant techniques into research initiatives.
• Help establish research standards and thought leadership for enterprise financial intelligence and AI evaluation.
• Promote scientific rigor, experimentation, and collaborative innovation within a distributed research environment.

Skills

Requirements

• Advanced degree in Finance, Economics, Financial Engineering, Quantitative Finance, or a related field; a PhD is strongly preferred, while an MBA, CFA, or equivalent expertise may also be considered.
• Deep domain expertise in one or more areas including investment research, capital markets, risk management, corporate finance, accounting, or financial analysis.
• Demonstrated experience conducting rigorous research, developing analytical methodologies, or building evaluation frameworks in finance or related quantitative disciplines.
• Strong ability to translate ambiguous real-world financial problems into measurable research questions and evaluation criteria.
• Exceptional analytical and critical-thinking skills 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 collaboratively across research, engineering, and product teams.
• Experience evaluating, benchmarking, or researching large language models, AI agents, reasoning systems, or enterprise AI applications is preferred.
• Familiarity with agentic workflows, AI evaluation methodologies, synthetic data generation, or model alignment techniques is preferred.
• Knowledge of contemporary machine learning, financial AI, decision intelligence, or computational finance research is preferred.
• Experience designing industry benchmarks, assessment frameworks, or performance standards is preferred.
• An academic, industry research, or influential technical publication record is preferred.
• Proficiency with quantitative research and data analysis tools such as Python, SQL, statistical analysis tools, or machine learning frameworks is preferred.

Benefits

• Full-time remote position.
• Base salary of $200,000–$250,000 per year.
• Eligibility for equity compensation.
• Potential performance-based bonuses subject to role and company policies.
• Up to 100% reimbursement for health insurance premiums.
• Paid time off.
• 401(k) plan with company match.
• Additional benefits supporting a high-performing remote-first workforce.
• Opportunity to conduct applied research at the intersection of enterprise finance, large language models, and agentic AI systems.
• Opportunity to help establish benchmarks and research standards for AI-powered financial intelligence.