Structured Finance Expert

Job Title: Structured Finance Expert

Job Type: Part-time

Location: Remote

Job Summary:

Join our customer's team as a Structured Finance Expert and play a pivotal role in shaping next-generation AI models for the finance sector. You'll leverage your expertise to guide AI training projects that involve broad, messy data seeding and complex, real-world financial artifacts. This is an exciting opportunity to impact how AI understands and processes intricate structured finance data.

Key Responsibilities:

1. Seed and curate diverse finance datasets, including messy spreadsheets, partial models, and ambiguous financial inputs.
2. Collaborate closely with the AI team to design and refine training flows, adapting structure based on project needs.
3. Provide expert feedback on the normalization and reconstruction of in-the-wild financial artifacts by AI models.
4. Contribute to the development of effective data labeling strategies and guidelines for structured finance projects.
5. Engage with other finance-adjacent contributors to ensure data quality and relevance.
6. Communicate clearly and effectively in both written and verbal formats within a remote, geographically dispersed team (US, Canada, UK, EU).
7. Champion best practices in the seeding and structuring process for AI training data.

Required Skills and Qualifications:

1. Proven experience in structured finance or a closely related financial field.
2. Ability to work with messy, incomplete, or ambiguous real-world data sets and financial models.
3. Strong written and verbal communication skills, with a keen attention to clarity and detail.
4. Familiarity with data seeding, labeling, and annotation processes in AI or data science projects.
5. Comfortable working with spreadsheets and financial artifacts in various formats.
6. Self-motivated, adaptable, and able to thrive in dynamic and sometimes unstructured environments.
7. Experience collaborating with remote teams across multiple geographies.

Preferred Qualifications:

1. Prior experience contributing to AI training or machine learning projects in the finance domain.
2. Background in finance data engineering or financial modeling.
3. Exposure to the challenges of broad/messy data seeding and iterative structure building for AI.