• Responsible for Data Management, Quality and Analytics
• Main data points include tenancy schedule data, valuations, debt & hedging, financials
• Preparation and timely delivery of a variety of quarterly fund analytics, external and internal reportings
• Maintenance and further development of reporting tools and processes
• Supporting equity raising activities with required analytics and data
• Handling of preparation and data submission process for industry groups (INREV and MSCI)
• Review and analysis of performance data
• Responsible for fund-level projections regarding returns, liquidity, risk profile, diversification, leverage, revenue, fees
• Budget planning and Cashflow analyses by using an established portfolio model
• Suitability analysis for acquisitions, underwriting of potential Real Estate acquisitions from portfolio management perspective
• Property, financial and corporate analysis as well as strategical management of Real Estates investments or targets
• Close interaction with collaboration with professionals in the various departments, such as Systems, Fund Controlling, Asset Management and Transactions
• Assistance at cross-functional and international projects

• Bachelor or master’s degree in Data Science, Finance, Accounting, Economics or other related field
• 1-2 years of working experience is preferred, this includes relevant internship and trainee positions during your studies. Experience in a data science or finance role or in fund reporting is a plus
• Excellent English working proficiency. German and French beneficial
• Strong quantitative skills and demonstrated analytical ability
• Proficient in MS Office especially excel, including MS Power platform and advanced data base knowledge
• Demonstrated ability to meet competing deadlines in a fast-paced environment and work well under time constraints
• Strong organizational, interpersonal and communication skills and the ability to convey complex data in an easy, concise and simple manner
• Self-starter and intellectually curious who pays attention to detail

• Experience in a data science or finance role or in fund reporting
• Understanding of basic real estate and finance terms and concepts
• Understanding of basic finance concepts such as NOI returns, cash flow returns, internal rate of return (IRR), present value/discounted cash flow, time weighted returns
• Knowledge of performance calculations and performance attribution methodologies
• Comfortable with large complex data sets and detangled the logics of the analysis

• Offering Flexibility and individuality, our opportunities align with the unique needs of our work, clients, teams, and lives.
• We understand that every role has its distinct requirements, so our managers treat their team as individuals, finding the way that works best for them to perform at the top of their game.
• We're not just talking about family friendliness. The majority of our employees have families; we enable flexible working hours while maintaining an in-office culture at the centrally located workplace in the heart of Luxembourg which is accessible with buses or tram.
• Fair remuneration is important to us. You will receive an attractive, performance-oriented salary and pension scheme benefits.
• Work is not everything. We regularly organize informative office events, summer and year-end parties. In addition, we offer 30 days of vacation per year and non-working days on Christmas and New Year's Eve to switch off.
• We support you in all situations. Together with partner companies as well as mental health first aiders, we offer life coaching, child and emergency care and individual assistance in challenging life situations.
• We are aware of our responsibility. The real estate industry is responsible for a large part of the global CO2 emissions - PGIM has set itself ambitious goals to change something and you can make your contribution!