Quantitative Developer - Central Liquidity Strategies

Quantitative Developer - Central Liquidity Strategies

About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team
Central Liquidity Strategies, within Execution Services, handles analysis, optimization, routing, and internalization for a substantial portion of the firm’s order flow. The team brings together quantitative research, trading, and development across execution and financing, working with large equity flows in complex markets. A new APAC-led initiative is expanding the team’s work across both areas.

What You'll Do

• Develop applications across a broad range of systems, primarily using q/kdb+ and Python

• Implement and optimize computationally intensive quantitative models, with a particular focus on high-performance processing of large streaming datasets

• Build standalone applications and contribute to related teams’ codebases

• Partner with other teams to define technical specifications and integration requirements, including APIs

• Collaborate closely with researchers and traders to deliver models and applications supporting the APAC-led execution and financing initiative

• Communicate ideas, questions, and conclusions clearly and concisely

What You Bring
• Two to ten years of experience in a development-intensive role within a financial institution
• Programming experience across both compiled and interpreted languages, along with proficiency in Unix
• Scientific education, preferably with a degree in statistics, mathematics, physics, or computer science
• Familiarity with databases and experience with q/kdb+ are highly advantageous but not required
• Experience with equity electronic trading markets, systems, and mechanics is helpful but not essential
• Excellent written and verbal communication skills and a flexible, collaborative approach to working across teams
• Strong attention to detail, thoroughness, and ownership, with the ability to work independently and thoughtfully
• Ability to learn quickly, prioritize competing demands, and respond with urgency in a fast-paced, high-pressure environment