Analyst Web3 Jobs in United States

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Job Position Company Posted Location Salary Tags

DTG Finance & Capital Markets

New York, NY, United States

$76k - $80k

Gemini

Miami, FL, United States

$73k - $84k

DV Trading

Houston, TX, United States

DV Trading

New York, NY, United States

$160k - $200k

DV Trading

Chicago, IL, United States

$71k - $80k

Flowdesk

New York, NY, United States

$81k - $90k

LMAX Group

New York, NY, United States

$36k - $58k

Chainalysis

United States

$79k - $100k

Markets

San Francisco, CA, United States

$88k - $110k

Polychain Capital

San Francisco, CA, United States

$77k - $79k

BitGo

Palo Alto, CA, United States

$80k - $115k

Blockworks

New York, NY, United States

$90k - $93k

Blockworks

New York, NY, United States

$79k - $84k

Bah

Washington, United States

$64k - $66k

Polychain Capital

San Francisco, CA, United States

$100k - $125k

DTG Finance & Capital Markets
$76k - $80k estimated
New York City Metropolitan Area US
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Our top client, a highly profitable and sophisticated cryptocurrency hedge fund, is seeking a Quantitative Crypto Analyst to join the Trading Team.

In this role, you will architect and execute a framework that integrates quantitative and qualitative data for comprehensive token analysis—ultimately building dashboards, metrics, and a system that identifies opportunities in the crypto markets. This system will help inform decision-makers and identify actionable opportunities in the market.

Minimum Qualifications:

  1. Crypto Experience: 2+ years of relevant experience working with on-chain data in a quantitative research or similar capacity.
  2. Follows industry developments, stays updated on key protocols and market trends, and maintains a genuine enthusiasm for exploring emerging blockchain technologies.
  3. Technical Proficiency: Strong programming skills (Python, SQL) for building and deploying models.

Familiarity with modern data technologies and cloud platforms (e.g., AWS, Snowflake) preferred.

Quantitative Background:

Proven knowledge and experience with time series analysis, sentiment analysis, optimization techniques, and/or machine learning.

Hands-on experience translating quantitative research into actionable investment or trading signals.

Communication Skills:

Ability to clearly articulate complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications:

  1. Advanced Education: Advanced degree in Engineering, Statistics, Applied Mathematics, Physics, Computer Science, or a related field.
  2. Crypto-Specific Knowledge: Experience with crypto data vendors, APIs, and fundamental blockchain analytics.
  3. Understanding of tokenomics and blockchain protocol fundamentals.

Entrepreneurial Mindset:

Demonstrated ability to thrive in a fast-paced, self-directed environment