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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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Campus Crypto Researcher (Full-Time)

Jump Trading Group
Found 2 months ago
Location
London, United Kingdom
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • crypto industry
  • computer science
  • distributed systems
  • consensus algorithms
  • networking
  • game theory
  • blockchain technology
  • smart contracts
  • cryptography
  • crypto-economics
  • tokenomics modeling

Soft Skills

  • Communicator
  • Kind
  • Communicative
  • Resourceful
  • Self-sufficient
  • Reliable
  • Predictable availability

Job Description

As a Campus [Intern / Full-time] Researcher at Jump Crypto, you will have the opportunity to partner with senior Leaders of Jump Crypto and other senior researchers to help shape the direction of our strategic efforts. The Researcher role is dynamic. Depending on your strengths and interests, you may be looking for macro-level trends that will inform the group’s future efforts, heads down on a nuanced issue advising our engineers or partners, producing valuable research reports, or advising our business development team on partnerships. You’ll use your deep knowledge of the crypto industry, computer science, distributed systems, consensus algorithms, networking, game theory and other disciplines relevant to blockchain technology to help identify, vet, and propose new business initiatives. The ideal candidate will know their strengths and contribute deeply to areas where they believe they can add the most value.

Requirements

  • Obsessed with the crypto industry and willing to follow its ever-evolving landscape to help guide the group’s efforts optionally on macro-level strategy or specific project architecture.
  • Well versed in one, or many disciplines material to blockchain development including, but not limited to, smart contracts, cryptography, crypto-economics, networking, consensus algorithms, distributed systems, and other related technologies.
  • An excellent communicator across both written and verbal channels, and able to effectively convey technical concepts clearly to the appropriate audience.
  • Able to balance open-ended, blue-sky research with actionable results.
  • Excited by the prospect of working in a fast-paced and lean organization with evolving focuses and priorities.
  • Kind, communicative, resourceful, self-sufficient, and able to work with internal and external stakeholders.
  • Reliable and predictable availability.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • macro-level strategy
  • specific project architecture
▶Apply Now

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