UNPAID INTERNSHIP: Quant Finance Encryption Developer
Fintech platform seeks CS/Math student to build numerical obfuscation systems protecting contributor IP and financial data streams.
Project
Develop encryption pipeline enabling model predictions on encrypted market data without exposing proprietary algorithms or sensitive datasets.
Build advanced obfuscation system for quantitative platform using methodology to protect contributor strategies and market data.
Technical Implementation
- structure-preserving transformations
- Feature anonymization with consistent cross-session mapping Homomorphic encryption for prediction extraction
- Real-time AES-256 stream encryption with ephemeral keys
- Format-preserving encryption maintaining data types
- In-memory processing pipelines (zero persistent storage)
- Encrypted API endpoints with session-based authentication
Strategy IP Protection
- Contributors’ algorithms remain completely private
- One-way prediction extraction (no reverse engineering)
- Encrypted model parameters and coefficients
- Secure execution environments with no data retention
Requirements
- Python/C++ programming (NumPy, cryptography libraries)
- Understanding of statistical relationship preservation
- Interest in quantitative finance and cryptographic systems
Job Types: Part-time, Internship, Apprenticeship
Contract length: 3 months
Pay: 10.00DH per month
