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BlockTech

Decentralized proof-of-assets liquidity for derivatives trading

AI Quantitative Researcher Intern

Quantitative ResearchPosted on Nov 13
Internship · Winter 2027Amsterdam, NetherlandsNo salary listed

About the Job

Requirements

  • Have a background in a highly quantitative field focused on AI, with an MSc or PhD.
  • Have at least 6 months of practical experience with large language models, agents, and harnesses.
  • Be comfortable designing evaluation and feedback loops to assess whether an agent is improving.
  • Be available to start in early 2027, work full-time on-site in Amsterdam, and commit to at least 12 weeks.

Responsibilities

  • Architect the agent-driven research framework by designing networks of agents and harnesses.
  • Design research pipelines and experimentation loops with quantitative researchers and traders.
  • Build evaluation and feedback mechanisms to assess what is working and what is not.
  • Own the framework in use, track its performance, and continue improving it.
  • Share findings to help the team improve its AI setup.

Desired Qualifications

  • Have experience using AI for quantitative research, such as working on math problems.
  • Have Python experience and exposure to trading.

About the Company

BlockTech

Decentralized proof-of-assets liquidity for derivatives trading

BlockTech speeds up the move toward decentralized proofs of asset ownership and connects liquidity for derivatives trading. It uses advanced software, mathematical models, and a global network to verify asset proofs and execute trades quickly and precisely. This approach aims to provide more trustworthy liquidity than traditional centralized providers by decentralizing asset verification. Its goal is to accelerate decentralized asset proofs and improve speed, reliability, and transparency in derivatives markets.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
2017

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