Finance Research Specialist
Keystone Recruitment
Job Overview
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Job Description
Role Overview: Finance Research Specialist
Keystone Recruitment is seeking a Finance Research Specialist for a global remote contract role. This position involves applying your financial expertise to evaluate and improve AI model responses to complex financial queries. You will be responsible for creating high-quality training data through detailed response analysis and annotation, ensuring AI systems demonstrate accurate reasoning, clear communication, and real-world applicability across various financial scenarios like banking, accounting, and investments.
Project Overview
Partner with leading AI labs to enhance conversational AI systems that handle financial topics. Your professional insights will be crucial in ensuring model outputs are precise, contextually relevant, and align with industry standards.
Detailed Responsibilities
- Response Evaluation (60%): Rate LLM-generated answers for accuracy and clarity, identifying factual errors, faulty assumptions, and reasoning gaps. Score responses using established financial evaluation rubrics and compare model outputs against trusted public sources and industry standards.
- Prompt Refinement (20%): Author precise prompts to elicit target financial reasoning, test their effectiveness across multiple model versions, and document optimal prompt structures for financial contexts.
- Annotation & Feedback (20%): Provide detailed annotations explaining evaluation decisions, flag subtle conceptual issues and edge cases, and suggest improvements for tone, completeness, and professional communication.
Required Expertise
- Professional finance experience (e.g., banking, accounting, investments, corporate finance).
- Advanced understanding of financial concepts and quantitative reasoning.
- Experience explaining complex topics clearly to varied audiences.
- Strong attention to detail and analytical precision.
- Comfortable with digital evaluation platforms and structured workflows.
Technical Requirements
- Reliable high-speed internet.
- Proficiency with office software (Excel, Word, PDF annotation tools).
- Familiarity with online research and public financial databases.
Success Metrics
- Achieve a 95%+ first-pass quality acceptance rate.
- Complete 12-18 evaluations per week at target complexity.
- Maintain zero critical factual errors in annotations.
- Provide actionable, reproducible feedback for model improvement.
Project Timeline & Compensation
Onboarding includes a resume review and finance knowledge screening (2-3 days). The project duration is 4-8 weeks with extension opportunities. The schedule is self-managed within weekly minimum hours, and payment is weekly via international platforms upon quality approval.
Ideal Candidate Profile
- Investment banking analysts/associates.
- Corporate finance professionals.
- Public/private accountants (CPA/CMA preferred).
- Asset management/portfolio analysts.
- Financial planning & analysis specialists.
- Economics researchers with finance applications.
Key skills/competency
- Financial Analysis
- AI Model Evaluation
- Data Annotation
- Quantitative Reasoning
- Prompt Engineering
- Financial Markets
- Accounting Principles
- Investment Strategies
- Economic Research
- Attention to Detail
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for financial AI: Highlight professional finance experience, analytical skills, and any exposure to AI or data annotation relevant to the Finance Research Specialist role.
- Showcase advanced financial expertise: Prepare to demonstrate your deep understanding of financial concepts and quantitative reasoning, crucial for evaluating AI outputs accurately.
- Prepare for a knowledge screening: Expect a finance knowledge screening during onboarding to validate your expertise in banking, accounting, and investments.
- Emphasize remote work readiness: Detail your experience with independent contract work, self-management, and proficiency with digital evaluation platforms.
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