Derivatives & Quant Finance Expert

$100 - $200/hourpay

Required Skills

derivatives expertise
quantitative finance
financial data analysis
ai model training workflows
data annotation
data normalization
spreadsheet evaluation
communication skills
remote team collaboration
adaptability
handling messy datasets
cross-disciplinary collaboration
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: Derivatives & Quant Finance Expert


Job Type: Part-Time


Location: Remote (US, Canada, UK, EU)


Job Summary:

Join our customer's innovative team as a Derivatives & Quant Finance Expert, where your expertise will help shape the next generation of AI-driven financial tools. You will play a pivotal role in seeding and curating challenging, real-world finance data to improve model learning in a dynamic, finance-adjacent environment.


Key Responsibilities:

  1. Develop and seed messy, real-world financial data—including derivatives spreadsheets, partial models, and ambiguous artifacts—for AI training.
  2. Collaborate with a remote team to identify, select, and prepare finance materials for model ingestion.
  3. Communicate insights and rationale clearly through detailed written and verbal updates.
  4. Contribute to a broad, evolving data seeding process, where structure emerges iteratively.
  5. Evaluate and annotate complex financial documents and quantitative inputs for model enhancement.
  6. Work flexibly across ambiguous flows—sometimes seeding data before rubrics or structures are finalized.
  7. Help guide the model to reconstruct, normalize, or extend financial data from limited or chaotic sources.


Required Skills and Qualifications:

  1. Strong background in derivatives and quantitative finance, with hands-on exposure to industry-relevant data.
  2. Exceptional written and verbal communication skills, especially for complex financial and quantitative concepts.
  3. Experience handling messy, incomplete, or “in-the-wild” financial datasets.
  4. Proficiency in evaluating and interpreting spreadsheets, models, and ambiguous financial artifacts.
  5. Demonstrated ability to work independently and asynchronously within a remote, distributed team.
  6. Familiarity with AI concepts, data seeding, or AI model training workflows.
  7. Adaptable and detail-oriented, able to operate effectively in evolving, unstructured project environments.


Preferred Qualifications:

  1. Prior experience contributing to AI or data science projects in finance or adjacent industries.
  2. Exposure to tools for data normalization, annotation, or reconstruction of quantitative models.
  3. Cross-disciplinary collaboration experience in fast-paced, experimental settings.

This job is currently closed and not accepting applications. Thank you for your interest!

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