You will need to implement a prediction model for the probability of default.
The mini-contest is held on Sberbank.DS – our special platform where you can build ML models using your laptop or tablet.PARTICIPATE
For contest participation you need a personal code which you can get on the Sberbank booth #622 at NeurIPS.
Sberbank experts will share their experience about applications of Data Science and Artificial Intelligence in Finance and Banking.
Managing Director, R&D Department, Sberbank
Development of Data Science and Artificial Intelligence in Sberbank
Lead Research Engineer, Sberbank AI Laboratory
Card transactions analysis using neural networks
Project manager, Department of credit products and processes, Sberbank
Deep neural networks for commercial property evaluation
Managing Director, Risks CIB Department, Sberbank
ML for Risk quants
Director, R&D Department, Sberbank
Ultimate credit process automation. Loans for Large Corporate Clients in 7 minutes
Managing Director – Head of Data Science Center of Financial Block
Sberbank is the largest bank in Russia and major international corporation that applies AI in all business processes.
We solve AI challenges in banking and financial areas every day:
We are looking for Data Science talents around the globe!
If you are interested in career opportunities in Sberbank - feel free to contact us firstname.lastname@example.org
What we are dealing with:
Verification and monetization of hypotheses on application of a vast amount of various data owned by Sberbank.
Our projects include both projects involving research analytics of big data arrays, geoanalytics and geomarketing, and projects related to development of predictive models based on machine learning algorithms, text classification, optimization problems. Our customers are both Sberbank's internal structures and multiple external clients from various industries seeking improvement of their businesses using Sberbank's big data based products.
In its work, our Data Team uses advanced data analysis technologies (R/Python/ Scala, Jupyter, machine learning) and big data technologies (MapReduce, Spark, Hive, Teradata).Requirements: