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INTERNSHIP DETAILS

Investment Fund Risk Analytics and Data Science Intern - Q2 2026

CompanyDeloitte Luxembourg

LocationLuxembourg

Work ModeOn Site

PostedMarch 18, 2026

Internship Information

Core Responsibilities

The intern will assist the team with data processing activities to compile risk, performance, and cost data, leveraging advanced control tools to deliver actionable insights. They will also actively participate in enhancing the analytics platform using technologies like ETL, Python, and SQL, and engage in research projects utilizing AI capabilities.

Internship Type

full time

Company Size

516609

Visa Sponsorship

Language

English

Working Hours

40 hours

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About The Company

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more. The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

About the Role

Investment Fund Risk Analytics and Data Science Intern - on site - full time

Your future team

Fund Analytics is a leading department in our Consulting and Advisory practice on Capital Markets working on UCITS and Alternative Investment Funds. We specialize in providing data management and regulatory advisory as well as reporting solutions for the asset management sector. Our expertise covers derivative instruments, delivering risk, performance, and cost analytics for investment funds, as well as offering regulatory reporting.

The advantages of joining us

Global Impact, Local Connections : Work on international projects and collaborate with diverse teams, all while making an impact locally.
Innovative Work That Matters : Tackle cutting-edge projects and utilize the latest tech, with all the tools you need to stay ahead.
Inclusive, Flexible Culture : Embrace a culture where your voice matters, with flexible hours to balance work and life seamlessly.
Build Your Network : Gain access to an exclusive alumni network and attend industry events to connect and grow your professional circle.

How you'll contribute to our success

Analyze Data and Deliver Insights: Assist our team and clients in their data processing activities to ease the risk, performance and costs compilation process. Leverage advanced tools of control to provide actionable insights.
Innovate and Improve: Actively participate in the enhancement of our analytics platform by utilizing the latest technologies, including ETL processes, Python scripting, and SQL databases for efficient data management and analysis.
Research and Develop: Engage in internal research projects that emphasize the risk, costs, and performance of investment funds. Leverage from AI capabilities to implement innovative data science methodologies to advance our research capabilities.
Knowledge Development: Cultivate an in-depth understanding of investment funds, statistics, financial instruments, and derivatives. Apply technological solutions to deepen analytical insights and improve reporting accuracy.

Your skills

Educational Background: Be enrolled in your last year in Bachelor’s or Master’s degree in Data Science or related fields.
Industry Enthusiast: Demonstrate curiosity and a keen interest in finance and investment funds sector.
Analytical Mindset: Be rigorous, quality-driven, and result-oriented, with exceptional analytical and synthetic skills. Utilize data science techniques to enhance analytical capabilities and deliver precise insights.
Effective Communicator: Show strong communication capabilities, work autonomously, and thrive in team environments.
Technical Proficiency: Possess knowledge and/or hands-on experience with advanced tools including Excel, ETL processes, Python, and SQL databases. Familiarity with data visualization tools such and machine learning applications is a plus.
Language Skills: Be fluent in English; proficiency in French or German is considered a plus.

Interested? Please submit your resume in English

Get to know more about Deloitte on our LinkedIn page (#DeloitteLU), Instagram page, YouTube page or website.

With more than 2,600 employees and 98 nationalities, Deloitte Luxembourg is one of the Grand Duchy's largest, strongest and oldest professional services firms. For more than 75 years, our talented teams have been serving clients in various industries delivering high added-value offerings to national and international clients in audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. Deloitte Luxembourg is part of the global Deloitte network.

Deloitte provides leading professional services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our people deliver measurable and lasting results that help reinforce public trust in capital markets and enable clients to transform and thrive. Building on its 180+-year history, Deloitte spans more than 150 countries and territories. Learn how Deloitte’s over 470,000 people worldwide work together every day to make an impact that matters at www.deloitte.com.

Key Skills

Data ProcessingRisk AnalyticsPerformance AnalyticsCost AnalyticsETL ProcessesPython ScriptingSQL DatabasesData ManagementAI CapabilitiesData Science MethodologiesStatisticsFinancial InstrumentsDerivativesData VisualizationMachine LearningExcel