- Train and guide AI models using real-world financial data and spreadsheets.
- Contribute finance domain expertise to unstructured and ambiguous data initiatives.
- Work with messy financial datasets to support AI learning and model improvement.
- Collaborate with cross-functional teams to structure and refine training datasets.
- Support data seeding and workflow development with iterative improvements.
- Partner with AI developers to enhance model reconstruction and normalization processes.
- Communicate financial insights and concepts clearly to technical and non-technical stakeholders.
Requirements
- Strong experience in finance or technology finance with hands-on financial data analysis.
- Expertise in financial modeling and structuring complex datasets.
- Excellent written and verbal communication skills.
- Ability to work with unstructured and ambiguous financial data.
- Strong analytical and problem-solving capabilities.
- Experience collaborating with remote, cross-functional teams.
- Adaptability and ability to work independently in evolving environments.
Application Process (Takes 20 Min)
- Easy Apply on LinkedIn
- Participate in resume evaluation & interview stage