Finance Research Specialist
Keystone Recruitment
Job Overview
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Job Description
Role: Finance Research Specialist
Apply your financial expertise to evaluate and improve AI model responses for complex financial queries. This remote contract position involves creating high-quality training data through detailed response analysis and annotation.
You will partner with leading AI labs, enhancing conversational AI systems that handle critical financial topics. Your professional insights will be crucial in ensuring AI model outputs demonstrate accurate reasoning, clear communication, and real-world applicability across banking, accounting, and investment scenarios.
Detailed Responsibilities
Response Evaluation (60%)
- Rate LLM-generated answers to financial user queries for accuracy and clarity.
- Identify factual errors, faulty assumptions, and reasoning gaps.
- Score responses using established financial evaluation rubrics.
- Compare model outputs against trusted public sources and industry standards.
Prompt Refinement (20%)
- Author precise prompts eliciting target financial reasoning.
- Test prompt effectiveness across multiple model versions.
- Document optimal prompt structures for financial contexts.
Annotation & Feedback (20%)
- Provide detailed annotations explaining evaluation decisions.
- Flag subtle conceptual issues and edge cases.
- 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
- 95%+ first-pass quality acceptance rate.
- 12-18 evaluations per week at target complexity.
- Zero critical factual errors in annotations.
- Actionable, reproducible feedback for model improvement.
Project Timeline & Compensation
- Onboarding: Resume review + finance knowledge screening (2-3 days).
- Duration: 4-8 weeks with extension opportunities.
- Schedule: Self-managed within weekly minimum hours.
- Payment: 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
- Prompt Engineering
- Financial Reasoning
- Industry Standards
- Banking
- Accounting
- Investments
- Corporate Finance
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 to align your application.
- Tailor your resume for financial AI roles: Highlight professional finance experience, analytical precision, and any exposure to AI, data annotation, or LLM evaluation to stand out.
- Showcase your quantitative reasoning skills: Prepare to discuss how you've applied advanced financial concepts and explained complex topics in previous roles during interviews.
- Master the technical assessment: Expect a finance knowledge screening and be ready to demonstrate proficiency with office software and online financial databases.
- Articulate your remote work effectiveness: Emphasize your ability to manage a flexible schedule, meet weekly targets, and maintain high quality in a global remote contract environment.
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