Ai Training Jobs - Flexível E Pago Por Tarefa - €1.900 A Month Lisboa

Ai Training Jobs - Flexível E Pago Por Tarefa - €1.900 A Month
Lisboa
Lisboa, Lisboa, Portugal

**About the job**The Stress Testing Data Analytics (STDA) team has a key role to play in the development of a strong risk management framework for the BNP Paribas Group. The team is responsible for the elaboration of the dataset that will be used as the starting point for modelling activities and stress testing exercises, which are crucial in granting the Group means to anticipate risks
The team works on a Big Data environment, with access to an ecosystem of Hadoop tools including Spark and Hive. Dataiku DSS (Data Science Studio) is used as an
- user interface, providing a visual approach to the implementation of ETL (Extract Transform Load) pipelines. Data visualization is also a part of the team’s responsibilities, with Tableau as the main tool
The team works in partnership with the IT department of the Group regarding the
- testing platform. They support the team on a
- basis and help with
- end big data engineering support and maintenance
In this role, you will join the team dedicated to credit risk. Your primary responsibility will be to handle big data, perform
- depth data analysis, present data to see beyond the numbers and prepare the databases used for the projection of credit risk parameters for stress testing and IFRS 9**Your Main Activities Are**Perform data collection and build/maintain reliable data pipelines
Work on data ingestion, data quality, data preparation, data cleaning and data analysis
Perform data consolidation in a strong control and analyses framework
Build and optimize the data processing, being in charge of sourcing and connecting data
Develop dynamic and intelligent dashboards
Work closely with our data providers and with our clients
Specific contributions to regulatory and internal stress testing exercises**Profile** and Skills to Success**Master Degree in Information Technology / Computer Science or related
Up to 2 years of experience in Information Technology / Data Analytics / Engineering or similar
Advanced level of English, both written and oral
Knowledge
- Data exploration and data
- SQL- Python
Ability to collaborate / teamwork
Ability to deliver/Results driven
Ability to work with tight deadlines and multidisciplinary teams
Analytical ability
Attention to detail / rigor
Communication skills, both written and oral
Resilience
LI-Hybrid**Why joining BNP Paribas? **- **Leading banking institution**BNP Paribas is the European Union’s leading bank, and key player in international banking. It operates in 63 countries and has nearly 183. 000 employees, including more than 146. 000 in Europe. - **Our presence in Portugal**In Portugal since 1985, BNP Paribas today has more than 8. 700 employees, distributed across the Group's 10 business entities established in the country. Its presence also extends to 11 excellence centres providing
- added services to various countries where the BNP Paribas Group also operates. - ** International reach**Thanks to its international presence and regular and close collaboration among its different entities, BNP Paribas has the resources to support all clients with financing, investment, savings and protection solutions that help make their projects a success. BNP Paribas holds key positions in its three core operating divisions:**Retail Banking**, a division that brings together all of the Group’s retail activities and specialised business lines;



**Investment & Protection Services**that include specialised businesses offering a wide range of savings, investment and protection services;



**Corporate & Institutional Banking**division that offers tailored financial solutions for corporate and institutional clients. - ** Diversity and Inclusion commitment**- **Commitment towards work/life balance**At BNP Paribas we care about our employees wellbeing and promote a culture of good integration between work and rest. We believe our employees have rich personal lives outside of work, being fundamental to be disconnected from work to recharge both physically and mentally. Only through this balance we may all be at our best while working. - ** Remote Working Conditions**At BNP Paribas, we embrace a Smart Working framework based on trust, autonomy and collaboration. Within this framework, eligible employees can benefit from flexible remote working modalities adapted to our hybrid working environment. To guarantee a comfortable and efficient working
- up, eligible employees are provided with both the office and home equipment, are entitled to an equipment allowance and can benefit from exclusive partnerships to purchase additional equipment at reduced prices. (Opens in a new tab)- In case you are selected for this role, further documentation will be requested to support your hiring process.