Equity Derivatives Market-Making Quant & Pricing

CLSA; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

CLSA is seeking an experienced software professional to support the US Market Making business. You will build pricing tools, daily risk and PnL analysis, and trading applications on US products, collaborating with global quants and IT to ensure a resilient risk/pricing infrastructure.

The role emphasizes engineeering platform solutions in Python on large-scale systems, with a strong focus on equity derivatives and tooling for optimization of business flows.

Qualifications

• 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

English fluency

Analytical skills

Debugging

Problem solving

Unit testing

Design patterns

Attention to detail

Self-motivated

Education

Master’s degree or above in Computer Science, Maths, Engineering

Tools

Python

SQL

Job description

CLSA is seeking an experienced software professional to support the US Market Making business. You will build pricing tools, daily risk and PnL analysis, and trading applications on US products, collaborating with global quants and IT to ensure a resilient risk/pricing infrastructure.

The role emphasizes engineeering platform solutions in Python on large-scale systems, with a strong focus on equity derivatives and tooling for optimization of business flows.