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Data Scientist - wealth management(5077
Entreprise:Banque Pictet & Cie SA, Employeur direct
Contacter Banque Pictet & Cie SA   |  Enregistrer cette offre  |  Toutes les offres de cet employeur
Description du poste↓Profil de l'employeur↓
Date de publication02.11.2018
Numéro de référenceRef: DS/CB/SS#ID5077
Domaine d'activité
Informatique/ Développement de logiciel
Lieu de travail***CH Suisse/ Schweiz/ Switzerland***, 1211 Geneva
Expérience professionnelle réquiseoui
Expérience professionnelleJunior Professional (1 à 3 ans d'experience)
Diplôme universitaireMaster
Brève descriptionMission

You will join the Private Clientele Data Analytics team working on risk, regulatory and strategic cross-disciplinary projects to assist the business lines with analytics to help their decision-making.
Description complèteResponsibilities

> Identifying and documenting data analytic use cases (BI, Advanced Analytic and ML) regarding private clients in cooperation with business stakeholders.
> Implementing use cases from end to end.
> Creating and improving BI risk and business dashboards.
> Contributing to data quality improvement, identifying inconsistencies and correcting data sources by using advanced analytics algorithms.
> Working closely with the Data Insights unit (at Group Level) and Technology & Operations to achieve industrialisation.


> Master’s degree in Data Science.
> At least one year experience in a similar role.
> Sound analytical, problem-solving and presentation skills.
> Proficient user of standard office IT applications (PowerPoint and Excel) as well as BI tools (e.g. Tableau, Alteryx or equivalent)
> Expert in Python and SQL programming languages; Knowledge of NoSQL and Spark would be a plus.
> Proven track record in applying prediction algorithms (linear, tree-based and neural networks).
> Strong interest in wealth management, especially private clients.
> Excellent command of French and English.
> The successful candidate will be required to reside in Switzerland.

As the chosen applicant you will be thorough and conscientious in your approach to your work and enjoy working as part of a team as well as being able to work independently. You will also be efficient and have excellent communication skills. Furthermore, your flexibility will help you to fit into your new working environment.


Note: We will not accept any CVs via agencies

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