Master’s degree or above in Computer Science, Maths, Engineering or related fields.
Minimum 6 years of relevant experience in Market Making business.
Strong proficiency in Python (3.9+) with a focus on debugging and analytical skills.
In-depth understanding of Equity Derivatives and their market mechanics.
Experience with SQL and managing large datasets.
Expertise in creating engineering solutions for large-scale systems.
Ability to thrive in a fast-paced, multifaceted environment.
Responsibilities
Support the EQD US Market Making business on listed products.
Develop pricing tools and conduct daily risk and PnL analyses.
Create trading applications tailored for US markets.
Design transaction analysis tools to enhance business operations.
Collaborate with global quants on quant library initiatives and projects.
Innovate and design an equity derivative library.
Team with IT to establish a resilient risk/pricing infrastructure.
Develop Vol Fitting and Dividend marking tools.
Support daily trading applications and enhance user experiences for traders.
Build tools to assist Equity Derivative sales teams across global markets.
Full Job Description
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.
