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Finance Expert – AI Trainer
Micro1
HybridHybrid
Original Job Summary
About the Role
Join micro1's team as a Finance Expert – AI Trainer. Leverage your MSc or PhD background to design challenging finance questions and evaluation rubrics that push the boundaries of AI comprehension.
Key Responsibilities
- Design and develop domain-specific, challenging finance questions.
- Create thorough and objective evaluation rubrics.
- Analyze AI model outputs for strengths and weaknesses.
- Collaborate with AI researchers and developers for relevancy and rigor.
- Document methodologies ensuring transparency and reproducibility.
- Continuously refine question sets based on feedback.
- Contribute thought leadership in finance for sophisticated AI training content.
Required Skills and Qualifications
- MSc or PhD in Finance, Economics, or a related field.
- Real-world business experience with advanced finance concepts.
- Exceptional written and verbal communication skills.
- Proven ability to develop challenging assessment materials.
- Deep understanding of derivatives, risk modeling, financial regulation, or quantitative analysis.
- Experience evaluating AI or technical solutions objectively.
- Self-motivated and proactive in a remote working environment.
Preferred Qualifications
- Experience collaborating with AI or machine learning teams.
- Publication record in finance or computational finance.
- Background in developing curricula or assessments for finance professionals.
Key skills/competency
- Finance
- AI Training
- Evaluation
- Assessment
- Quantitative Analysis
- Risk Modeling
- Financial Regulation
- Communication
- Collaboration
- Domain Expertise
How to Get Hired at Micro1
🎯 Tips for Getting Hired
- Customize your resume: Highlight finance expertise and AI training experience.
- Showcase academic credentials: Emphasize MSc/PhD achievements and relevant projects.
- Research micro1 culture: Review their mission and AI advancements.
- Prepare for technical interviews: Demonstrate finance and assessment abilities.
📝 Interview Preparation Advice
Technical Preparation
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Review quantitative finance theories.
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Practice designing evaluation rubrics.
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Study AI model output analysis.
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Explore case studies in risk modeling.
Behavioral Questions
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Describe a challenging project experience.
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Explain remote collaboration strategies.
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Discuss handling detailed feedback.
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Illustrate independent problem solving.