About the job
We invite you to submit your CV in English, highlighting your level of English proficiency.
At Mindrift, we connect talented specialists with exciting project-based AI opportunities for top technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based rather than permanent employment.
Key Responsibilities:
- Design innovative computational financial problems that reflect authentic financial research workflows.
- Create programming challenges that necessitate Python solutions, utilizing libraries such as Numpy, SciPy, and Sympy.
- Develop problems that are computationally demanding and cannot be solved manually in a reasonable timeframe (days to weeks).
- Formulate challenges that require complex reasoning in mathematical areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real-world research challenges or practical applications in mathematics.
- Verify solutions using Python with established mathematical libraries.
- Clearly document problem statements and provide accurate, validated answers.
Candidate Profile:
This role is ideal for specialists in Financial Mathematics with Python expertise who are interested in part-time, non-permanent projects. Ideal candidates will possess:
- A degree in Finance, Mathematics, or a related field.
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is acceptable.
- A minimum of 2 years of professional experience in applied mathematics, research, or teaching.
- Strong command of written English (C1 proficiency or higher).
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.
How to Get Involved:
1. Apply → 2. Pass qualification(s) → 3. Join a project → 4. Complete tasks → 5. Receive payment.
Project Time Commitment:
During active phases, tasks are estimated to require approximately 10-20 hours per week based on the project requirements. Note that this is an estimate and not a guaranteed workload.
Compensation:
Earn up to $76 per hour, depending on your experience and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Other projects may offer different earning potentials based on their specific requirements.

