Member of Technical Staff, Finance Research | $6-$8/hr Remote

Overview

This role sits at the cutting edge where artificial intelligence meets finance. As a Member of Technical Staff on the Finance Research team, you'll design and own the evaluation frameworks that measure how well AI systems handle complex financial tasks—from reasoning and decision-making to full workflow automation. You'll work closely with researchers and engineers to push the boundaries of what AI can do in enterprise finance, turning cutting-edge research into tangible improvements.

What You'll Do9

• 1Create and maintain sophisticated evaluation suites for AI agents operating in finance, including benchmark datasets, scoring rubrics, and rigorous testing protocols.
• 2Conduct original research on financial reasoning and automated decision-making, then translate your findings into measurable upgrades for AI system performance.
• 3Build realistic test environments and curated datasets that mirror the challenges real-world enterprise finance teams face daily.
• 4Partner with AI researchers, ML engineers, and product leads to validate finance-focused models and agentic systems, then refine them based on results.
• 5Analyze model behavior and failure modes to uncover trends and generate actionable recommendations that steer research priorities.
• 6Document your findings in internal research reports and technical guides that help the organization understand AI's evolving role in finance.
• 7Keep up with the latest advances in machine learning, financial modeling, and agent architectures, and integrate promising techniques into your work.
• 8Help establish micro1 as a thought leader in enterprise financial intelligence and AI evaluation by setting high standards for research quality.
• 9Foster a culture of scientific rigor and collaborative innovation across a remote, distributed research team.

Requirements7

• 1Advanced degree in Finance, Economics, Financial Engineering, Quantitative Finance, or a closely related field (PhD strongly preferred; an MBA, CFA, or equivalent expertise is also welcomed).
• 2Deep knowledge of at least one finance domain—such as investment research, capital markets, risk management, corporate finance, accounting, or financial analysis.
• 3Proven experience in designing rigorous research methodologies or evaluation frameworks in finance or another quantitative discipline.
• 4Ability to turn vague, real-world finance problems into clear, measurable research questions and evaluation criteria.
• 5Strong analytical and critical-thinking skills, with a track record of tackling complex, cross-disciplinary challenges.
• 6Excellent written and verbal communication skills, especially for creating research reports, technical documentation, or thought leadership content.
• 7Experience thriving in cross-functional teams where research, engineering, and product stakeholders collaborate closely.

Who Should Apply

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