Domain Researcher, Finance — Enterprise AI Solutions & Strategy

ZR Talent Group has an active remote opening for a Domain Researcher, Finance — Enterprise AI Solutions & Strategy ($400,000 - $800,000/year). This flexible work-from-home role pairs experienced practitioners in Financial Research, Enterprise AI, Benchmarking, Agentic Finance Workflows with leading machine learning laboratories to author high-difficulty prompts, verify factual and technical rigor, and refine multi-step reasoning outputs.

Prior experience building machine learning systems is not required—our research partners value authentic practitioner judgment, domain rigor, and clear analytical writing.

Key Responsibilities & Deliverables

• 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.

Required Qualifications & Technical Criteria

• 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 Experience & Bonus Attributes

• Experience evaluating, benchmarking, or researching large language models, AI agents, reasoning systems, or enterprise AI applications.
• Working knowledge of 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. ZR Talent Group 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.

Compensation, Remote Eligibility & Schedule

• Compensation Band: $400,000 - $800,000/year
• Work Model: 100% Remote / Work From Home with flexible asynchronous scheduling
• Eligible Remote Locations: United States, Canada, United Kingdom, Australia, New Zealand, Ireland, and South Africa
• Current Openings: 1 active specialist position
• Hiring Organization: ZR Talent Group
• Core Skills & Technologies: Financial Research, Enterprise AI, Benchmarking, Agentic Finance Workflows