Deadline:
As soon as possible
Companies
Location(s)
Luxembourg
Overview
Deloitte Luxembourg welcomes you to a positive and flexible work environment. You’ll discover our remarkable new premises, located in Cloche d’Or, Luxembourg’s fastest growing Business Hub. With more than 2,700 employees and 90 nationalities, our multicultural environment promotes a culture of inclusion, trust and recognition. Deloitte combines the power of a global network, with the agility of startup minded teams.
Details
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.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Who you are
- Educational Background: Be enrolled in a 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.
- 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.
- 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.
- Language Skills: Be fluent in English; proficiency in French or German is considered a plus.
Dates
Deadline: As soon as possible
Cost/funding for participants
+ More Info / Application
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