Domain Researcher, Finance – Remote (Worldwide)

RemoteJobsOne; Chicago (IL); Remote; USD 400,000 - 800,000; Full time

Benefits offered by this job

Equity compensation

Remote-first

Health insurance

Job summary

RemoteJobsOne is seeking a Domain Researcher, Finance to advance AI-powered financial reasoning. This fully remote role collaborates with researchers, engineers, and product teams to design evaluation frameworks for finance-focused AI.

You will conduct applied research, develop datasets and benchmarks, and publish findings to guide enterprise AI capabilities across financial workflows.

Qualifications

• Advanced degree in Finance, Economics, Financial Engineering, or related field.
• Demonstrated research experience and ability to build evaluation frameworks.

Responsibilities

• Design and evolve evaluation frameworks for AI agents in finance.
• Conduct original research on financial reasoning and decision-making.
• Develop datasets, test cases, and benchmarks for enterprise finance.
• Collaborate with researchers, engineers, and product teams to evaluate models.
• Analyze model behavior and identify failure modes to guide research priorities.
• Publish internal research findings and best practices.

Skills

Finance domain knowledge

Research experience

Data analysis

Python

SQL

Education

PhD in Finance

Tools

Python

SQL

Job description

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $400,000–$800,000/yr

Job Title: Domain Researcher, Finance

Job Type: Full-time

Location: Remote

The Role

Join our research team as a Domain Researcher (DR), Finance, where you'll help define the frontier of AI-powered financial reasoning. This role sits at the intersection of large language models, agentic systems, and enterprise finance, with a focus on building rigorous evaluation frameworks that measure, benchmark, and advance AI performance across complex financial workflows. You will conduct applied research, develop novel methodologies for assessing financial intelligence in AI systems, and partner closely with researchers, engineers, and product teams to shape the next generation of enterprise AI.

What You'll Be Doing

• 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, translating findings into measurable improvements in AI system performance.
• Develop and curate datasets, test cases, and benchmark environments that capture 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 that contribute to the broader understanding of AI capabilities in finance.
• Stay current with advances in AI, machine learning, financial modeling, evaluation science, and agent architectures, incorporating emerging techniques into research initiatives.
• Help establish research standards and thought leadership for enterprise financial intelligence and AI evaluation.
• Foster a culture of scientific rigor, experimentation, and collaborative innovation within a distributed research environment.

What We're Looking For

• Advanced degree in Finance, Economics, Financial Engineering, Quantitative Finance, or a related field (PhD strongly preferred; MBA, CFA, or equivalent expertise also considered).
• Deep domain expertise in one or more areas of finance, 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 a track record of 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 involving research, engineering, and product stakeholders.

Preferred Qualifications

• Experience evaluating, benchmarking, or researching large language models, AI agents, reasoning systems, or enterprise AI applications.
• Familiarity with agentic workflows, AI evaluation methodologies, synthetic data generation, or model alignment techniques.
• Knowledge of contemporary research in machine learning, financial AI, decision intelligence, or computational finance.
• Experience designing industry benchmarks, assessment frameworks, or performance standards.
• Publication record in academic conferences, journals, industry research, or influential technical publications.
• Proficiency with data analysis, experimentation, or quantitative research tools (e.g., Python, SQL, statistical analysis, or machine learning frameworks).

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $200,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies.

The company provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

the company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to us by replying to our email.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.