Analytics Consulting - Data Scientist

BNP Paribas
BNP Paribas is a leading bank in Europe with an international reach.

Job details

  • Full-time
  • calendar
  • map markerLisbon, PT
  • cardRequires Work Permit
    Requires that you're a citizen or have a valid work permit / visa sponsorship to work in the country in which this position is based.
  • routeIntermediate
  • routeEnglish
    Preferred spoken language

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Intro

BNP Paribas Corporate & Institutional Banking (CIB) is a leading European investment bank with global leadership in many of our businesses. We are part of the BNP Paribas Group, a financial institution with solid foundations and a proven ability to adapt to change. BNP Paribas CIB, with nearly 28,000 employees in over 50 countries, can offer you an exciting and truly global start to your career, a career where you, your ideas and your development matter.

BNP Paribas Corporate & Institutional Banking (CIB) is a global provider of financial solutions to corporate and institutional clients.

The Role

Analyse internal clients’ needs:

o Collaborate with clients to best understand their operational and strategic needs in terms of complex data analysis

o Investigate and solve business issues using technical, data-driven approaches

Produce and adapt data analysis models:

o Set-up ad-hoc metrics and process to address each business issue

o Propose and produce descriptive and predictive analyses addressing key business priorities identified by stakeholders

o Contribute to disseminate a culture of data use and management within CIB

Maintain a strong market watch on the data analysis models and share best practices with the Analytics Consulting team

Main requirements

  • Engineer school/ Master’s degree from university with a specialisation in mathematics, statistics or data science
  • 2-5 years experience
  • Experience in working in complex multi-dimensional environment
  • Experience using Business Intelligence and statistical analysis software
  • Synthetical skills: ability to explain the results of a data model and the different elements impacting it
  • High statistical and quantitative analysis skills (e.g. Machine learning models, statistical models, time series analysis, etc.)
  • Ability to think abstractly and creatively
  • Knowledge of databases and associated tools (Access, SQL)
  • Knowledge of ETL methods (data imputation, data cleaning)
  • Strong programming skills (R, Matlab, VBA, Python) and algorithmic knowledge.
  • Excellent communication and interpersonal skills
  • Flexibility: ability to work in a changing environment
  • Project management skills
  • Fluent English

Nice to have

  • Fluency in French and Portuguese
  • Exposure to Hadoop ecosystems
  • Knowledge of advanced reporting tools (Tableau, Qlikview)

Apply now

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