DESCRIPCIÓNDE LA ACTIVIDAD DEPARTAMENTO
MISSION AND OBJECTIVES
We monitor BNP Paribas Group’s attack surface to help in risk reduction associated with our organization’s digital presence.
In this role, you will work at the forefront of Risk Management.
With most attacks originating outside the firewall, Digital Risk helps us defend from security exposures. You will work closely with the Head of Cyber and Technology Risk Analytics in the development of DRIP platform for the Group that combines advanced internet data reconnaissance and analytics to expedite investigations, understand digital attack surfaces, assess risk, and take action to protect our business, brands, and customers.
We are looking for a Cloud Data analysts or scientists to join our BNP Paribas Global Iberian Center of Excellence in Madrid.
ROLE AND OVERVIEW
As a data scientist at Group BNP Paribas Risk ORC ICT, you will build solutions to identify Cyber, Technology and Digital Risks that we face.
Working closely with various Risk, functional and security experts, you will develop and code data pipelines and analytic models and deploy.
You will keep in mind who is using the data and do what’s necessary to help them get the most value from it even if that sometimes means reviewing and cleaning up false positives yourself.
You’ll go to bed at night thinking about how we can use our data better, coming up with ideas, and thinking of all the ways to combine our data in ways that creates new security insights.
DESCRIPCION PUESTO (Tareas a realizar / Responsabilidades)
Analyse internal and external datasets to support the development of Data Science products in the areas of Cyber and IT Incidents, Insider Risk and Cyber Risk Intelligence.
Develop data science pipelines in AWS to build applications within the Digital Risk Intelligence platform.
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing / collection, ground truth generation, normalization, transformation, Visualization, etc.
Develop and maintain server-less analytics modules and machine learning models that support our detection, analysis, and data pipeline.
Contribute in choosing appropriate AWS data and AI services and platforms, and Data Science and AI Frameworks that are fit-for-purpose.
FORMACIÓNREQUERIDA (conocimientos, Formación especializada)
Prior data science experience working with languages Python and the libraries in ML and DS ecosystem.
Proven experience in applying machine learning algorithms.
Ability to deliver in a fast-paced, self-directed environment.
Ability to learn translate data science research into PoC and ability to pick up tools, languages, and modelling approaches as necessary.
Experience with databases (SQL or NoSQL).
Bachelors, Master's degree or PhD in computer science, mathematics / statistics, engineering, physics or other quantitative disciplines.
Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations.
Experience with AWS technologies like Quick sight, Redshift, S3, EC2, Data Pipeline, & EMR.
Combination of deep technical skills and business savvy enough to interface with all levels.
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.