Investment Fund Risk Analytics and Data Science Analyst Expirée

With more than 150 partners and 2,700 employees, Deloitte Luxembourg is one of the Grand Duchy's largest, strongest and oldest professional services firms. For 70 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.
 
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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.

What you will do

• 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.

Who you are

• Hold a Bachelor’s or Master’s degree in Data Science or related fields
• An interest in finance and investment funds sector
• Possess knowledge and/or hands-on experience with advanced tools including Excel, ETL processes, Python, and SQL databases
• Be rigorous, quality-driven, and result-oriented, with exceptional analytical and synthetic skills
• Show strong communication capabilities, work autonomously, and thrive in team environments
• Be fluent in English; French or German is considered a plus