Web3 Jobs in United States

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Job Position Company Posted Location Salary Tags

Genesis Global Trading, Inc.

New York, NY, United States

Chainalysis

New York, NY, United States

Mythical Games

Seattle, WA, United States

Braintrust

San Francisco, CA, United States

$63k - $75k

Braintrust

San Francisco, CA, United States

Braintrust

San Francisco, CA, United States

$45k - $90k

TaxBit

Washington, United States

$54k - $80k

Aptos

Palo Alto, CA, United States

$58k - $90k

Prime Trust

Las Vegas, NV, United States

$91k - $96k

Prime Protocol

New York, NY, United States

$27k - $100k

SeedInvest

Boston, MA, United States

TaxBit

Washington, United States

$54k - $80k

Ripple

San Francisco, CA, United States

BCGDV

Los Angeles, CA, United States

$98k - $108k

Genesis Global Trading, Inc.

New York, NY, United States

VP Risk Quant

Genesis Global Trading, Inc.
NY New York City, New York, United States
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About This Role: VP, Risk Quant

We are looking for a risk quant to develop and maintain models and tools, with exposure in Market as well as Counterparty Credit risk.

Responsibilities & Requirements

  • Familiarity with risk management framework for various quantitative measure of risk.
  • Responsible for calculating PFE/EPE/IM for derivatives portfolio in Crypto
  • Excellent counterparty credit risk methodologies and derivative product knowledge.
  • Proven understanding of Monte Carlo exposure models, Credit and Market risk concepts, pricing and risk measures.
  • Familiarity with relevant risk concepts and related valuation concepts (e.g. VaR, stress-testing, counterparty exposure estimation, liquidity estimation)
  • Technical knowledge of models, forward and spot interest rate/credit curve interpolation/extrapolation
  • Programming knowledge is essential.
  • Ability to work independently
  • Great attention to detail.
  • Strong analytical skills;
  • Crypto exposure desirable.
  • 3+ years of experience in a comparable quantitative modeling or analytics role, ideally in the financial sector
  • Masters or Doctorate degree in a technical area such as Financial Engineering, Computational Finance, Mathematical Finance, Mathematics, Statistics, Computer Science, Physics or related fields