Quantitative Developer / Researcher - Treasury

Millennium; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Millennium is seeking a Python-focused quantitative analyst to join its Information Technology team in London. You will conduct margin analysis across fixed income and equities, develop and maintain production models, and collaborate with treasury, quant developers and technology colleagues across the firm’s global offices.

You will own delivery timelines, translate research into practical tools, and apply strong analytical skills to support business performance in a fast-paced financial

Qualifications

• Substantial professional experience using Python for quantitative analysis.
• Extensive equities or fixed income quantitative analysis experience.
• Strong analytical and statistical capabilities with domain knowledge.
• Experience developing and implementing quantitative models in production.
• Able to work effectively in a collaborative, team setting.
• Clear written and verbal communication skills.
• Motivated and adaptable with drive in a high-performing finance environment.

Responsibilities

• 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.

Skills

Python for quantitative analysis

Equities or fixed income analysis

Analytical and statistical skills

Quant models in production

Collaborative mindset

Clear written and verbal communication

Motivated/adaptable

Job description

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.

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.