int(11348)
Hong Kong, Hong Kong

Senior Quantitative Analyst – Risk Management *NEW*

Our client is a reputable digital assets organization with global footprints. As part of their expansion plan, they are looking for a Senior Quantitative Analyst (Risk Management) to join their Hong Kong office.

Please contact Venus Ip at +852 6380 0256 or email your CV directly in word format to venus@theedgepartnership.com

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days we regret to inform you that your application for this position was unsuccessful.

 

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Key responsibilities

  • Drive the enhancement of risk methodologies and conduct quantitative analyses to model and evaluate financial risk exposures linked to exchange-traded derivatives in a regulated environment.
  • Develop and sustain financial risk models that facilitate the assessment and ongoing management of market, credit, collateral, and liquidity risks, etc.
  • Create quantitative analyses to support key inputs and risk parameters (such as data aggregation, risk assessment, and stress testing) for the implementation and ongoing oversight of risk models.
  • Participate in product development efforts, collaborating closely with the Product Management and Risk Engineering teams to incorporate risk management practices into the product development process.
  • Assist in and support both internal and external risk assessments to validate the effectiveness of risk models and ensure compliance with internal policies and regulatory requirements.
  • Work with internal and external and stakeholders to align with best practices and emerging trends.

Role requirements

  • A relevant degree ideally in quantitative finance, mathematics, engineering, computer science or related subjects
  • 8+ years of experience with a financial services / fintech organization.
  • Solid experience in risk modeling of derivative products
  • Understanding of the crypto environment and recent developments of relevant rules and regulations
  • Proven experience in data analysis techniques and statistical modelling
  • Team management experience is preferred
  • Excellent problem solving skills and ability to work in a fast paced, ever changing and growing organization required.