Quantitative Developer (KDB & Python) - Central Liquidity Strategies

We are seeking a highly driven, results-oriented Quantitative Developer to join a new and dynamic group tasked with developing our next-generation quantitative research platform.

Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely.

The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

• Contribute to a wide range of projects and deliver quickly and iteratively.
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
• Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

• 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
• Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
• Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
• Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.