AI Jobs in Web3

1,411 jobs found

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Job Position Company Posted Location Salary Tags

Prospect Rock Partners

New York, NY, United States

$67k - $76k

Block

Oakland, CA, United States

$32k - $54k

Digital Currency Group

Stamford, CT, United States

$73k - $100k

NEAR Foundation

New York, NY, United States

$105k - $120k

OKX

Jakarta, Indonesia

$71k - $112k

OKX

Singapore, Singapore

$73k - $100k

OKX

Jakarta, Indonesia

$54k - $74k

Startale

Singapore, Singapore

$87k - $150k

Volume

Remote

$200k - $500k

Nexis Network

Remote

$132k - $500k

Story Protocol, Inc.

San Francisco, CA, United States

$160k - $250k

Botto

Remote

$44k - $66k

NEAR Foundation

New York, NY, United States

$63k - $90k

Coinbase

Remote

$149k

Prospect Rock Partners
$67k - $76k estimated
NY New York US

Our client, a prestigious investment bank, is looking to add a talented Analyst 2 to its team in NYC. The role will focus on the exciting and rapidly evolving sectors of digital assets, high-performance computing (HPC), artificial intelligence (AI), and power and energy infrastructure. Analysts assume significant responsibility and are included in all aspects of a transaction from origination to closing. They work on small deal teams, get immediate and direct exposure to senior bankers and senior executive clients, and are responsible for the day-to-day execution tasks of each transaction. The work is fast-paced and requires the ability to work under pressure and manage tight deadlines. Our client offers Analysts the chance to get exposure to high-profile transaction, advance more rapidly and take on more responsibility than at traditional bulge-bracket firms. This is a unique opportunity to help build a rapidly growing investment banking team, while having the backing of a leading SPAC focused financial services Sponsor.

Key Responsibilities:

  • Analysis of companies, transaction structures, deal activity, and corporate filings
  • Process management including buyer / investor interaction due diligence request tracking
  • Company valuation, and financial performance analysis
  • Model and / or manage the modeling of complex transaction scenarios
  • Data analysis using mathematical models and statistical techniques
  • General research and presentation of findings
  • Creation of materials for Board meetings, client presentations and due diligence support materials
  • Create industry specific valuation analyses such as public comps and precedent transactions


Requirements:

  • 1-2 years of relevant experience in Investment Banking with strong experience across M&A, private placements and / or equity capital markets; Blockchain, crypto, digital infrastructure investment banking experience preferred
  • Additionally, candidates with specific product experience in equity capital markets, private capital raises, or M&A advisory would be strong fits for our client's growing franchise
  • Undergraduate degree in Business (Accounting, Finance, Economics), Technical Sciences (Engineering, Physics) or Liberal Arts with preference for strong academic record
  • Strong work ethic, self-motivated and entrepreneurial
  • Excellent problem solving and analytic ability with strong quantitative / technical skills and attention to detail
  • Strong knowledge of Excel, PowerPoint, and other industry resources such FactSet and Pitchbook
  • Exceptional writing and verbal communication skills
  • Maturity, presence, and poise to take on client-facing responsibilities
  • US work authorization


Why Our Client:

  • Strong senior bankers from bulge-bracket firms with long track record of successful deals· Premium deal flow with significant exposure to high-profile transactions. Majority of work will be executing in leadership roles in meaningful transactions· Excellent career path with highly attractive elite boutique compensation and significant upside· Access to world-class executives at high-growth companies· Close-knit, rapidly growing team

What an AI Developer does?

An AI developer is someone who creates and builds artificial intelligence systems

Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems

Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.