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Financial Mathematics (Python) – Freelance AI Trainer
Design financial math problems solvable with Python, not manual calculation
Create computationally intensive financial math problems for AI training, requiring Python solutions and rigorous verification. These problems will simulate real financial research workflows.
Why This Role?
Contribute to AI system improvement for leading tech companies via project-based opportunities
Required Skills
Keywords
View Original Description from Jobicy
Original description from Jobicy
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving... Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: Design original computational financial problems that simulate real financial research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for Financial Mathematic specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Finance, Mathemat
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