About the Role
Please submit resumes to QuantTalentEUR@mlp.com and reference REQ-30088.
Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton,
PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics
Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO)
Key Responsibilities
- Practical, hands-on experience with large-scale, end-to-end deep learning at a top-tier quantitative
- Trading Firm Or a Leading AI/technology Company Preferred
- Design and build the firm’s core deep learning pipelines for applied quantitative alpha research—
- from data preparation and distributed training through evaluation and production deployment.
How to Apply
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