Posted by BNP Paribas is a leader in the Eurozone, and a prominent international banking institution with strong roots in Europe’s banking history. It has a presence in 71 countries, with 200 000 Employees – including more than 150 000 in Europe and 6 000 in Portugal alone.
Data Scientist – Stress-Testing Data Analytics
Job Description:
- The STDA team in Lisbon is dedicated to credit and works in a one-team manner with the STDA team based in Paris
- The team is looking for a data analyst, also the primary focus will be on the development, maintenance and testing of STDA data marts in a Big Data environment
- Appetite for the credit data functional content and understanding of stress tests modelling team requirements are a must
- The objective is to set up Data marts for STFS to be able to stress capital and cost of risk on the credit risk perimeter of the bank. This includes the following processes:
- Data ingestion, Data quality, Data preparation with DATAIKU DSS (Data Science Studio)
- Data visualization with TABLEAU
- Specific contributions to regulatory and internal stress testing exercises
IBM, Morgan Stanley, Amazon, Walmart, TCS and other companies looking for Data Scientists in India
Requirement:
- Junior (0-3 years experiences) – willingness to consider recent graduates) with strong desire to learn
- Strong academic background, with a Master degree
- Skills: significant experience in data exploration and data preparation. Good knowledge of SQL.
- Experience with PYTHON programming language is a plus
- Knowledge of Risk Management principles is a plus
- Strong interest in data management and functional content of the data
- Ability to work with tight deadlines and multidisciplinary teams
Nearly 100,000 (1 lakh) data science jobs vacant in India, Salary up to ₹9.5 lakh/annum
Paytm is hiring over 1,000 engineers, data scientists and financial analysts
ADDITIONAL INFORMATION
- The successful candidate will have the opportunity to:
- Develop understanding of Stress Testing exercises
- Have an exhaustive view on BNP PARIBAS credit risk perimeter
- Learn all the fundamentals of credit risk data and measurement (RWA and Expected loss calculations)
- Learn and develop programming skills and knowledge in a big data environment (PYTHON, PYSPARK, HIVE QL)
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