Executive Crypto Jobs

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Job Position Company Posted Location Salary Tags

Genesis Global Trading, Inc.

New York, NY, United States

Immutable

Remote

$71k - $79k

Ava Labs

New York, NY, United States

$50k - $75k

Genesis Global Trading, Inc.

New York, NY, United States

Ripple

Singapore, Singapore

VaynerMedia LLC

New York, NY, United States

$105k - $180k

Milo

Miami, FL, United States

$94k - $102k

Cake Pte Ltd

Singapore, Singapore

$54k - $87k

capital.com

London, United Kingdom

$54k - $85k

Consensys

Remote

$54k - $87k

Consensys

Remote

$54k - $79k

BlockFi

New York, NY, United States

$11k - $63k

BlockFi

San Francisco, CA, United States

$11k - $63k

BlockFi

Austin, TX, United States

$11k - $63k

Akash Network

Remote

$11k - $63k

VP Risk Quant

Genesis Global Trading, Inc.
NY New York City, New York, United States
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This job is closed

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