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Market Making Quant, Equity Derivatives

CLSA
Posted 5 months ago, valid for 10 days
Location

New York, NY 10008, US

Salary

$150,000 - $190,000 per year

Contract type

Full Time

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Sonic Summary

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  • The position involves supporting the EQD US Market Making business on listed products and building various trading and risk analysis tools.
  • Candidates should have a Master's degree or above in Computer Science, Maths, Engineering, or related fields, along with a minimum of 6 years of relevant experience in the Market Making business.
  • Proficiency in Python (3.9+) and strong debugging and analytical skills are essential, as well as an in-depth understanding of Equity Derivatives.
  • The salary range for this role is between $150,000 and $190,000 USD.
  • Fluency in both spoken and written English is required, along with the ability to work in a fast-paced environment and solve complex problems.

Key Areas of Responsibilities

  • Supporting EQD US Market Making business on listed products.
  • Building pricing tools and looking after daily risk and PnL analysis.
  • Building trading applications on US products.
  • Building transaction analysis tools to optimize the business flows
  • Working with global quants on quant library and global quant projects
  • Designing and innovating equity derivative library
  • Working with IT to build a resilient risk/pricing infrastructure
  • Building Vol Fitting tools and Dividend marking tools
  • Supporting daily trading applications
  • Building trading tools and support the Equity Derivative sales teams overseas  

Requirements

  • Master’s degree or above in Computer Science, Maths, Engineering or related disciplines
  • Minimum 6 years of relevant experience in Market Making business
  • Extensive knowledge in computer science fundamentals and software development experience in Python (3.9+) with excellent debugging and analytical skills
  • In-depth understanding of Equity Derivatives
  • Strong understanding of design patterns, solid principles, and unit testing practices
  • Experience with SQL, database design, and large datasets
  • Expertise in engineering platform solutions in Python on large-scale, complex systems
  • Ability to work in a fast-paced environment and critically, solve various problems arising from trading, risk and operations
  • Self-motivated, strong attention to detail and a proactive mindset.
  • Fluent in both spoken and written English  

Salary Range: $150,000-$190,000 USD

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