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Enjoying an in-depth understanding of the sustainable finance practices of asset owners as well as the sustainable finance ambitions of the European Commission’s sustainable finance expert groups, we are passionate about advancing the sustainability of buy side actors in financial markets. We innovate with our partners in (i) Climate Transition Investing, (ii) Investment Impact Analytics, (iii) Nero Zero Target Benchmarking, and (iv) Precautionary Principle Based Estimations.
Having coined the term Financial Data Science in 2014, we continue our journey to build this strongly emerging industry with our partners. We (i) develop and advance Asset Allocation and/or Security Selection Laboratories, (ii) design and customise Machine Learning Algorithms, (iii) disaggregate and purify Investment Signals, (iv) radar corporations to ensure Past Promises are Not Forgotten and (v) prioritise last week’s Changes to Corporate Actions and Inactions in customised software solutions.
Data is the “new oil” but the quality of data deliveries differs vastly and does not necessarily improve over time. We work with our partners to (i) conduct ex-ante Data Provider Due Diligence aligned with their Multi Level Entity Masters, (ii) execute Six Sigma Data Quality Testing upon data delivery and (iii) support integration, matching and defect mitigation via our Data Scouting Services.
As a spin-off of the German Research Center for Artificial Intelligence (DFKI) we are always at the forefront of AI research. Continuously extending the possibility to utilize AI to (i) transform unstructured data into structured data (ii) scaling our client's capabilities through automation and (iii) extending our clients products and services through AI capabilities. To accomplish this we develop and train state-of-the-art deep neural networks from the domains of computer vision, natural language processing and financial time-series data.
Corporate behaviour originates from the decisions of top executives who are influenced by their experiences, skills, job security and group dynamics. Executive teams with a more productive and diverse set of characteristics are likely to make better decisions. Since executive turnover is high in relevant asset classes, we Track key Executive Talent Weekly to allow our partners to make better informed decisions (i) before and (ii) after the investment decision (i.e. (i) security selection and (ii) corporate engagement).
Collaborative innovation is crucial to achieving the United Nations’ Sustainable Development goals with a substantial part of the responsibility to innovate falling to (data) scientists. SDGLabs.ai is our open platform for scientific collaboration without borders. We are very grateful for encouragement and support of our partners including BMJV, DBU, EIT, GLEIF, IFC, Mistra, Scottish Enterprise or UBA.