Dr. Nils Andri Bundi
Dr. Nils Andri Bundi
ZHAW
School of Engineering
IDS Institute for Data Science
Technikumstrasse 81
8400 Winterthur
Work at ZHAW
Position
Senior Lecturer
Focus
- Blockchain & Decentralized Finance
- Quantitative Finance
- Network Theory
Education and Continuing education
Education
PhD / Financial Engineering
Stevens Institute of Technology
01 / 2014 - 07 / 2022
Network
Membership of networks
ORCID digital identifier
Social media
Projects
- Large Scale Data-Driven Financial Risk Modelling / Team member / completed
- Real-time price anomaly detection for market data quality monitoring / Project leader / completed
- Automation and industrialization of quantitative research / Team member / completed
- Algorithmic Contract Types Unified Standards / Team member / completed
- RENERG2 – RENewable enERGies in future energy supply / Team member / completed
- Risk- and Finance-Lab / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
- Stockinger, K. et al. (2019) ‘Scalable architecture for big data financial analytics : user-defined functions vs. SQL’, Journal of Big Data, 6(46). doi: 10.1186/s40537-019-0209-0.
- Wildi, M. and Bundi, N. A. (2019) ‘Bitcoin and market-(in)efficiency : a systematic time series approach’, Digital Finance, 1(1), pp. 47–65. doi: 10.1007/s42521-019-00004-z.
Book chapters, peer-reviewed
Breymann, W. et al. (2019) ‘Large-scale data-driven financial risk assessment’, in Braschler, M., Stadelmann, T., and Stockinger, K. (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 387–408. doi: 10.1007/978-3-030-11821-1_21.
Written conference contributions, peer-reviewed
Stockinger, K. et al. (2018) ‘Large-scale data-driven financial risk modeling using big data technology’, in 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT). IEEE, pp. 206–207. doi: 10.1109/BDCAT.2018.00033.