Analyst Web3 Jobs in New York, New York, United States

344 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Analyst Web3 Jobs in New York, New York, United States
Job Position Company Posted Location Salary Tags

DTG Finance & Capital Markets

New York, NY, United States

$76k - $80k

DV Trading

New York, NY, United States

$160k - $200k

Flowdesk

New York, NY, United States

$81k - $90k

LMAX Group

New York, NY, United States

$36k - $58k

Blockworks

New York, NY, United States

$90k - $93k

Blockworks

New York, NY, United States

$79k - $84k

Galaxy

New York, NY, United States

$90k - $150k

Circle

New York, NY, United States

$74k - $80k

Circle

New York, NY, United States

$130k - $170k

Toku

New York, NY, United States

$106k - $111k

Circle

New York, NY, United States

$160k - $207k

Blocksource

New York, NY, United States

$76k - $80k

a16z

New York, NY, United States

$158k - $185k

Proof of Play

New York, NY, United States

$90k - $145k

Figure

New York, NY, United States

$64k - $80k

DTG Finance & Capital Markets
$76k - $80k estimated
New York City Metropolitan Area US
Apply

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