Financial Mathematics (Python) - Freelance AI Trainer

Mindrift

10d • $76

About The Position

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.

Requirements

• Degree in Finance, Mathematics or related fields
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent
• 2+ years of professional experience: applied, research, or teaching experience is applicable
• Strong written English (C1+)

Nice To Haves

• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

Responsibilities

• 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 This Job Offers

• Job Type: Part-time
• Education Level: No Education Listed