About the job
Please submit your CV in English and specify your English proficiency level.
At Mindrift, we connect talented professionals with exciting project-based AI opportunities at leading tech firms, focusing on the testing, evaluation, and enhancement of AI systems. This role involves project-based participation rather than permanent employment.
Overview of the Role
Each project entails distinct responsibilities, including but not limited to:
- Creating innovative computational finance problems that reflect actual financial research workflows;
- Formulating challenges that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);
- Designing problems that are computationally demanding, requiring extensive timeframes to solve manually (days/weeks);
- Developing problems that demand complex reasoning in domains such as number theory, combinatorics, graph theory, and numerical analysis;
- Grounding problems in real-world research challenges or practical mathematical applications;
- Validating solutions using Python and standard mathematical libraries;
- Clearly documenting problem statements and providing verified correct answers.
Candidate Profile
This opportunity is ideal for specialists in Financial Mathematics with Python experience, open to part-time, non-permanent projects. The ideal candidate will possess:
- A degree in Finance, Mathematics, or a related field;
- Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries being advantageous;
- At least 2 years of professional experience in applied, research, or teaching roles;
- Strong written English skills (C1+ level);
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.
Application Process
Apply → Complete qualifications → Participate in a project → Fulfill tasks → Receive payment
Project Time Commitment
For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.
Compensation
Contributors have the potential to earn up to $29 per hour, contingent on their level of expertise and contribution pace. Compensation will vary by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

