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Main Duties and Responsibilities:
This role will support the build-out of an internal data infrastructure for LaSalle’s pan-European real estate debt business. Sitting under the Portfolio Management team and working directly with the Managing Director of Debt Investments to design and implement modular, auditable systems for pipeline management, asset reporting, legal term tracking, financial flows, and portfolio analytics.
This initiative replaces fragmented Excel-based workflows with structured systems capable of supporting future capabilities such as predictive dashboards, AI integration, document intelligence, and internal knowledge management. This role is expected to materially improve the quality, structure, and accessibility of internal data across the platform, enhancing investment decision-making, reporting, and operational efficiency.
Key Responsibilities:
- Work with senior stakeholders to define a data and systems roadmap
- Build and manage SQL-based database structures
- Use Python to ingest, clean, and transform operational data
- Create internal UI prototypes for data entry and visualization
- Design systems to support pipeline tracking, asset reporting, legal term analysis, and fund-level analytics
- Lay the foundation for future features including AI assistants, predictive analytics, and internal knowledge platforms.
Required Qualifications & Experience:
- 1- 3 years of relevant experience.
- Proficient in Python and SQL with experience building structured databases
- Comfortable building user-facing tools or dashboards for business users
- Strong communication skills and the ability to work independently
- Exposure to document parsing (PDFs), geocoding APIs, and automation workflows
- Good understanding and an interest in real estate investments and knowledge of debt investments would be advantageous.
- A team player with excellent communication skills, strong work ethic and positive attitude.
- Energetic and self-motivated, with an ability to work independently and show initiative.
