Product Engineer - Global Financial Institution - Hong Kong

My client, a global financial institution, is actively seeking a talented product engineer to join their expanding team. You will be responsible for designing and developing a real-time equity derivatives pricing and risk system and collaborate closely with fellow developers, QA specialists, and production support teams. The ideal candidate should possess a solid grasp of pricing and risk functionalities within a trading environment, excellent communication skills, and a collaborative spirit. Pr

NLS - Hong Kong - Full time

Salary: Up to HKD 1.5 million

My client, a global financial institution, is actively seeking a talented product engineer to join their expanding team. You will be responsible for designing and developing a real-time equity derivatives pricing and risk system and collaborate closely with fellow developers, QA specialists, and production support teams. The ideal candidate should possess a solid grasp of pricing and risk functionalities within a trading environment, excellent communication skills, and a collaborative spirit. Proficiency in Unix/Linux environments is essential for this role.

The role: 

  • Monitor and uphold equity volatility fitting processes to ensure the accuracy and timeliness of market data representation.
  • Manage and enhance an Equity Derivatives Real-time Pricing and Risk System.
  • Analyze and resolve issues related to static data, market data, pricing, risk, and PnL.
  • Engage with various stakeholders, including traders, Risk Managers, and Middle Office personnel.

Qualifications/Skills:

  • Preferably, experience working with Equity Derivatives Pricing and Risk applications.
  • Understanding of Equities, Futures, FX, Fixed Income, and their derivatives is advantageous.
  • Proficiency in scripting languages like Python and Groovy.
  • Familiarity with vendor data products such as Bloomberg, Reuters, and/or MarkIT.
  • Ability to remain composed under pressure and communicate effectively with diverse stakeholders.
  • Bachelor's degree in Computer Science or a related field.
  • Exceptional listening and communication skills, both verbal and written.
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