DE 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)
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
- 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.
in choosing appropriate AWS data and AI services and platforms, and Data
Science and AI Frameworks that are fit-for-purpose.
REQUERIDA (conocimientos, Formación especializada)
• Prior data
science experience working with languages Python and the libraries in ML and
• 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).
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, &
• Combination of
deep technical skills and business savvy enough to interface with all levels.
track record of dealing well with ambiguity, prioritizing needs, and
delivering results in a dynamic environment.
• Working knowledge