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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
Millennium’s Information Technology organization builds and supports the flexible, scalable technology and proprietary systems that power the firm’s active, multi-manager platform. This team works at the intersection of quantitative research, analytics, and trader support, partnering closely across global offices to enhance next-generation tools, strengthen core modeling capabilities, and support innovation across the firm’s treasury and financing environment.
What You'll Do
• Conduct in-depth analysis of margin calculations across fixed income and equities.
• Partner with Treasury, FIC business management, quant developers, and technology teams to build and enhance the quantitative research framework and library.
• Optimize, enhance, and maintain stress cash models.
• Apply strong Python expertise to develop, test, and deploy quantitative models and analytics.
• Translate quantitative research into practical tools and model enhancements that support business performance.
• Work closely with a global team of quants across London, Geneva, New York, and Tel Aviv.
• Take ownership of delivery timelines for Treasury applications and projects, including hands-on development and supporting documentation.
What You Bring
• Substantial prior professional experience using Python for quantitative analysis.
• Substantial experience in equities or fixed income quantitative analysis, ideally within Treasury or prime financing.
• Strong analytical and statistical capabilities, supported by solid domain knowledge.
• Experience developing and implementing quantitative models in a production-oriented environment.
• Ability to work effectively in a collaborative, team-oriented setting.
• Clear written and verbal communication skills.
• A motivated, adaptable approach and the drive to perform in a high-performing financial environment.