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Data Scientist/Software Engineer (Quantitative Portfolio)
Eingestellt von Experis AG
Gesuchte Skills: Engineer, Perl, Python, Java
Projektbeschreibung
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.
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.
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik