Data Scientist/Software Engineer (Quantitative Portfolio)

Zürich  ‐ Vor Ort
Dieses Projekt ist archiviert und leider nicht (mehr) aktiv.
Sie finden vakante Projekte hier in unserer Projektbörse.

Beschreibung

Data Scientist/Software Engineer (Quantitative portfolio)

On behalf of our client, a leading bank in Zürich, we are looking for a Data Scientist/Software Engineer (Quantitative portfolio).

Are you looking for an exciting new opportunity with a market leading global company then please have a look at the details:

Role:

  • As part of the team, explore the possibilities to innovate and digitize Asset Management division
  • Help on a joint project between Quant Investments and COO
  • Extend the current quantitative investment model for equities with new factors
  • Assess whether such additional factors/data sources can improve the effectiveness of the current model

Skills:

Must Have:

  • +5 years of experience in Data Science (enough seniority and experience to lead the project from the data science perspective)
  • Specific experience in big data/machine learning projects in ideally asset management
  • Quantitative portfolio experience
  • Very strong experience and knowledge with one of the programming languages: Python, R, Perl, Java, Javascript
  • Excellent analytical and synthesizing skills
  • An experience (concrete projects) with sample (big) data sets from related fields (ideally)
  • Machine learning knowledge: NLP, Anomaly Detection, Time Series analysis, Customer Segmentation, Deep learning etc.

Nice to have:

  • Knowledge of additional programming languages: Javascript, Perl, etc.
  • Experience with Spark, Hadoop, or other distributed frameworks

Are you interested in this opportunity? Kindly send us your CV today through the link in the advert. In case of any questions please contact Marianne Leborne.

Experis IT is Europe's leading IT&T recruitment agency.

Start
02/05/2018
Dauer
6 months
Von
Experis AG
Eingestellt
21.03.2018
Projekt-ID:
1524859
Vertragsart
Freiberuflich
Um sich auf dieses Projekt zu bewerben müssen Sie sich einloggen.
Registrieren