Lead Data Engineer - Research & Analytics, Infrastructure
Role details
Job location
Tech stack
Job description
Reporting to the lead Research & Analytics Infrastructure, the role is a pivotal element in both the development of a global Infrastructure Analytics platform and the regional investment process for the European Infrastructure portfolio.
This Analytics platform enables efficient bottom-up research on private infrastructure investments, providing new insights and ensuring that we are able to integrate all relevant (big) data sources into our decision-making. The role is a unique opportunity to contribute to a fast-growing platform that is instrumental in the investment decision process.
Being part of the investment team, the quantitative portfolio manager also plays an important role in the underwriting of the investments. The portfolio manager will be part of a deal and asset management teams to support the value-creation and growth of the c.€26bn infrastructure portfolio. This is an ideal role for candidates with a quantitative background that has affinity with the infrastructure market. It offers the opportunity to help shape the business as we grow.
Dit ga je doen
Main Duties and Responsibilities:
- Working with the lead research and analytics to develop the global infrastructure analytics platform;
- Working within the research and analytics team to further develop the global infrastructure analytics platform;
- Further professionalize data pipelines, the knowledge graph and analytical tools that are built on top of these;
- Perform thematic research with a quantitative angle on relevant topics to assess impact on underwriting of the investment portfolio;
- Turn the research into robust analytics with minimal maintenance.
Requirements
- A Master's degree or higher with high distinction in quantitative methods, mathematics, or other statistical/data-oriented emphasis from a top-tier school;
- A minimum of 5 years of relevant experience as a quant developer or quantitative analyst;
- Advanced coding skills in Python;
- Experience with large-language models, knowledge graphs or BI tools such as MS PowerBI is a plus;
- Value creation mindset over the long term - broad-minded, innovative, forward thinker;
- Strong team player and communicator with the ability to collaborate effectively with internal and external stakeholders;
- Adaptable and able to apply themselves to a broad range of demands;
- Excellent English communication skills;
- Willing to undertake regional travel.