2027 Quantitative Researcher Intern, Zug

2027Quantitative ResearchIntern,Zug

About Millennium

Millennium is a global, diversified alternative investmentfirm,founded in 1989. Defined by evolution,innovationand 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 riskmanagementand continuous learning. With opportunities to deepenexpertiseand accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth acceleratesimpact.

Planned Start

June 2027

Estimated Duration

11weeks

Meetthe Teams

Millennium’steamsoperatein a dynamic and entrepreneurial environment, supported by the firm’s resources,technologyand strong commitment to innovation across data and markets. Within areas such as Equities, Fixed Income, Credit, Commodities,Technology,Execution Services and Portfolio Pricing and Valuations, teams combine deep specialization with a rigorous risk framework and a collaborative culture focused on delivering high-quality results.

WhatYou’llDo

Explore and analyze a wide range of datasets, including market and alternative data, using statistical, machine learning, econometric, and applied mathematics techniques.

• Backteststrategies to evaluate performance, robustness, and practical application.

• Build and enhance research tools, including data acquisition and normalization libraries,backtestingtools, and portfolio optimization capabilities.

• Partner closely with quantitative researchers and investment professionals to support live investment strategies.

• Apply analytical and programming skills to solve real-world quantitative research challenges.

What You Bring

• Graduating between December 2027 and July 2028.

• Academic Excellence:On track to graduate with a 2:1 or 1st class degree

• Pursuing aBachelor’s or Master’sdegree ina technicalor quantitative discipline such as financial engineering, quantitative and computational finance, statistics, applied mathematics, physics, computer engineering, computer science, operations research, data science, or engineering.

• Demonstratedproficiencyin Python; experiencewithadditionallanguages such as C++ is a plus.

• Ability to apply AI tools effectively in quantitative workflows and clearly explainmethodology, rationale, and output validation.

• Understanding ofdata structures and algorithms.

• Experience conducting an in-depth research project using real-world data.

• Solid knowledge of statistical and machine learning techniques.

• Availability to commit fully to the internship for the full program duration.