Market Making Quant, Equity Derivatives
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Before you apply
Salary$150k – $190k
LocationNew York
Work modeon-site
Typefull-time
SenioritySenior
Experience6+ yrs
Company size1,001–5,000 people
PostedApr 27, 2026 · 6mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Apr 27, 202658% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
SQL
Key Areas of Responsibilities
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Supporting EQD US Market Making business on listed products.
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Building pricing tools and looking after daily risk and PnL analysis.
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Building trading applications on US products.
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Building transaction analysis tools to optimize the business flows
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Working with global quants on quant library and global quant projects
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Designing and innovating equity derivative library
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Working with IT to build a resilient risk/pricing infrastructure
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Building Vol Fitting tools and Dividend marking tools
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Supporting daily trading applications
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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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