Quantitative/Data Developer

Responsibilities

• Design and create proprietary software to handle mission-critical trading demands, including market data, quoting, pricing, risk, and P&L
• Work closely with traders and quantitative analysts to understand, iterate on, and implement requirements
• Collaborate with various technology teams to deliver efficient, scalable solutions in a fast-paced production environment
• Maintain and enhance proprietary trading systems and interfaces to empower the sales desk

Requirements

• At least 3 years of experience developing data tools and applications in Python
• Proficiency with the Python data science stack, including NumPy and Pandas
• Bachelor's degree in Computer Science, Applied Science, or a similar field
• Strong interpersonal and communication skills for interacting with traders and developers

Preferred Qualifications

• Prior experience in a Quantitative Developer role
• Ability to understand financial models and mathematical algorithms
• Advanced degree in a quantitative or technical field
• Interest in capital markets, probability, game theory, and IT applications in these areas

About the Company

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment.