Dr. Sigurd Prieur

Leading Elsevier’s Life Science Analytics Business Develop and bring to market analytic solutions based on RWE data to Life Sciences to improve patients’ outcomes, shorten bench to bedside time, and optimize clinical processes at the Point of Care.

Elsevier Health Analytics is Elsevier’s machine learning, AI, and predictive analytics business division working on structured and unstructured healthcare data to develop digital, scalable cloud-based products in EMEA/LA. Full P & L responsibility, direct report to SVP international, line and matrix manager. Provide executive level leadership for strategic management of diverse functions: product roadmap, production, marketing, sales, people management. Part of the global business development team.

Brought start-up and digital expertise to consulting company. Engagement manager for consulting projects in dynamic industries such as insurance, energy, banking, and public sector with focus on digitalization. Supervised and coordinated the activities of interdisciplinary teams with up to 10 managers. Collaborated with senior management and stakeholders to develop and implement standardised regulatory reporting frameworks. Organisational development, change management, directed steering committee meetings.

Responsible as Corporate Director for building up the business: defining and formulating policies and organizational processes in the founding process of the company. Worked closely with the CEO to implement and establish strategic initiatives for trading according to guidelines set by the board of shareholders. Initial staff recruiting, making investment decisions, ensuring adherence to legal and compliance regulations and in-house policies.

Director for data and analytics at KPMG finance risk management, focus on acquiring new clients (P & L responsibility) and generating new revenue streams. Direct reporting line to Executive Management. Head of three teams: Methodology, IT, and Reporting, 25 full-time employees. Engagement manager for top 5 banking clients.

Business Owner of credit risk assessment system to minimize credit loss by continuously monitoring account data of 10m+ commercial customers. Leading senior project manager for cross-functional rating methodology (Basel II). General project manager for the validation of 5 rating modules: business start-ups, small businesses, freelance professionals, medium-sized companies, large corporates. Lead team to transition to use machine learning beside classical statistical modeling.

Initiator and project manager of a statistically developed and validated continuous risk assessment system for commercial corporate customers for all affiliated credit institutions. Key driver for standardization among credit rating/scoring instruments for private customers. Design and development of a scorecard for private mortgage lending.

Economic efficiently and profitability calculations for renewable energies (wind, solar). Set up databases for measurement and control applications for industrial plants. Calculate budget impact of fiber optic technology installations for IT and telecommunications using VBA for Excel and R. Transformation of internal business processes and external tendering management from analog to digital.

Market surveys and field studies: Data collection via face-to-face interviews. Conducted omnibus and industry specific surveys: finance, health / pharmaceutical, chemical, automotive, telecommunication, political, and social opinion polling.

Predicitve Analytics, Economic Science

Statistik, Informatik, Marketing