Finance Lecturer (AI Training)

ixolabs.ai

France

Sur place

EUR 55 104 - 82 656

Temps partiel

14 jours+

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Résumé du poste

ixolabs.ai is seeking a Finance Lecturer to develop and deliver AI-focused finance training for foundational and advanced topics. You will create curricula, explanations, and problem sets to guide AI models through corporate finance, derivatives, and econometrics, while ensuring accuracy and pedagogical soundness.

The role emphasizes clear communication, adaptability to university-level standards, and ongoing update of content to reflect current financial theory and markets.

Qualifications

  • PhD or MBA in Finance, Economics, or related quantitative field.
  • Minimum 3 years of university-level teaching experience in finance (adjunct or full-time).
  • Proficiency in financial modeling tools (e.g., Excel, Python with Pandas/NumPy, R).
  • Deep understanding of financial markets, investment strategies, and corporate finance principles.
  • Experience with curriculum development or instructional design is a plus.
  • Excellent written and verbal communication skills, with an ability to simplify complex topics.

Responsabilités

  • Develop comprehensive curriculum modules and training data covering core finance topics from undergraduate to advanced graduate levels (e.g., corporate finance, derivatives, econometrics).
  • Craft detailed explanations, examples, and problem sets for AI models to learn nuanced financial theories and applications.
  • Review and refine AI-generated explanations for accuracy, pedagogical soundness, and adherence to established financial principles.
  • Provide structured feedback on AI’s ability to interpret and explain financial statements, valuation models, and market dynamics.
  • Design assessment questions and scenarios to test AI’s understanding of financial concepts and its ability to apply them in varied contexts.
  • Stay abreast of academic developments in finance to ensure training content remains current and cutting-edge.

Connaissances

Teaching experience
Communication skills
Pedagogy
Quantitative finance

Formation

PhD or MBA in Finance/Economics
University teaching experience

Outils

Excel
Python (Pandas/NumPy)
R

Description du poste

Overview

The future of financial AI hinges on articulating complex concepts with clarity and accuracy, mirroring the expertise of a seasoned educator. As a Finance Lecturer for AI Training, you will shape foundational knowledge that powers next-generation financial models and advisory systems.

Responsibilities
  • Develop comprehensive curriculum modules and training data covering core finance topics from undergraduate to advanced graduate levels (e.g., corporate finance, derivatives, econometrics).
  • Craft detailed explanations, examples, and problem sets for AI models to learn nuanced financial theories and applications.
  • Review and refine AI-generated explanations for accuracy, pedagogical soundness, and adherence to established financial principles.
  • Provide structured feedback on AI’s ability to interpret and explain financial statements, valuation models, and market dynamics.
  • Design assessment questions and scenarios to test AI’s understanding of financial concepts and its ability to apply them in varied contexts.
  • Stay abreast of academic developments in finance to ensure training content remains current and cutting-edge.
Ideal Qualifications
  • PhD or MBA in Finance, Economics, or a related quantitative field.
  • Minimum 3 years of university-level teaching experience in finance (adjunct or full-time).
  • Proficiency in financial modeling tools (e.g., Excel, Python with Pandas/NumPy, R).
  • Deep understanding of financial markets, investment strategies, and corporate finance principles.
  • Experience with curriculum development or instructional design is a plus.
  • Excellent written and verbal communication skills, with an ability to simplify complex topics.
Project Timeline
  • Start Date: Immediate
  • Duration: Ongoing (minimum 6 months commitment preferred)
  • Commitment: Flexible, part-time hours (15-25 hours/week)

Help us build the financial intelligence that will revolutionize the industry!

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