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Front Office Equity Derivatives Quant

barclays.co.uk Logo

Barclays

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Location:
China , Hong Kong

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Step into the Role as a Front Office Equity Derivatives Quant in Barclays Hong Kong. The role is embedded within the equity flow, exotic and QIS trading business. In this role you will engage in the Research and development of quantitative models for derivatives pricing and risk management, will support in the development and maintenance of C++ and Python analytical libraries with provision of expertise on quantitative methodologies and technological solutions.

Job Responsibility:

  • Research and development of quantitative models for derivatives pricing and risk management
  • Support in the development and maintenance of C++ and Python analytical libraries
  • Provision of expertise on quantitative methodologies and technological solutions
  • Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management
  • Working closely with sales teams to identify clients' needs and develop customised solutions
  • In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics
  • Provide front office infrastructure support though ownership and maintenance of analytical libraries
  • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment

Requirements:

  • At least 2-5 years of experience working as a derivatives quant
  • Strong understanding of derivatives pricing theory (flow and exotic options)
  • Master’s degree in quantitative finance, or PhD in science / math / computer science / engineering
  • Advanced mathematics skills including stochastic calculus
  • Knowledge of C++ and Python

Nice to have:

  • Industry experience in developing in a C++ analytics library
  • Experience writing QIS scripts
  • Knowledge of machine learning and data analysis

Additional Information:

Job Posted:
February 08, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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