30 - 40 Stunden pro Woche
15.00CHF pro Stunde
Was du machen wirst:
Key responsibilities:
- Develop and implement predictive models based on business driven algorithms as well as machine learning procedures to understand and master borrowers behavior and investors risk appetite.
- Develop and apply text mining methods to improve internal credit models.
- Collect and model alternative data sources like social media profiles, customer reviews and the digital footprint of the borrowers.
- Provide research on topics including Fintech and the application of AI in Finance.
- Produce quantitative and qualitative modeling of marketplace dynamics, user behavior, etc.
- Identify areas for further investigation as well as creating innovative methods of analysis.
- Design meaningful data visualizations that communicate the findings and present them in a clear manner to create business impact.
Was wir bieten:
- The opportunity to actively have an economic impact by helping SMEs, the backbone of the economy, to reach their growth goals.
- A great location and an inspiring working environment at one of the best coworking spaces in Zürich, Westhive.
- A guaranteed steep learning curve.
- A sharp and motivated team in a results-driven environment.
Was wir erwarten:
- Mindestbildungsabschluss Bachelor
- Degree in a quantitative field (Operation Research, Engineering, Applied Math, Statistics, Analytics, Data Science, Economics etc)
- Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling.
- Solid understanding of statistical modeling/machine learning/ data mining
- Business Intelligence Tools such as KNIME, Tableau, Spotfire Big Data Ecosystem: SQL, Hadoop, Spark, MapReduce, Hive Scientific Computing: R, Python, C++, Java, Scala
Bewerben
Bist du der ideale Kandidat für diese Stelle? Dann bewirb dich jetzt auf dem folgenden Link und wir werden dich so schnell wie möglich kontaktieren.
Extra Informationen
Candidate Profile:
- Degree in a quantitative field (Operation Research, Engineering, Applied Math, Statistics, Analytics, Data Science, Economics etc)
- Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling.
- Solid understanding of statistical modeling/machine learning/ data mining
- Business Intelligence Tools such as KNIME, Tableau, Spotfire
- Big Data Ecosystem: SQL, Hadoop, Spark, MapReduce, Hive
- Scientific Computing: R, Python, C++, Java, Scala
- Fluent in English, other languages are a plus.
- Entrepreneurial spirit and Startup mindset
- Real go-getter who strives for results and is motivated by 'wins'
- Ability to show initiative/forward-thinking and be proactive
- Clear and thorough communication style, able to communicate at all levels
- Excellent attention to detail, whilst having the ability to connect the detail with the wider context
- Enthusiasm and curiosity about the intersection of business, technology and data.
- Passion to try new things, learn quickly and work well with diverse backgrounds.
We are looking forward to receiving your application.
The Acredius Team
- Status
- Inaktiv
- Ausbildungsniveau
- Hochschule/Universität
- Standort
- Zürich
- Arbeitsstunden pro Woche
- 30 - 40
- Jobart
- Praktikum
- Gehaltsangabe
-
15.00CHF pro Stunde
- Verantwortlich für
- 6 months paid internship, 80%-100%, starting immediately. Possible subsequent permanent position.
- Tätigkeitsbereich
- IT / Software-Entwicklung / Programmierung, Finance / Accounting / Controlling
- Führerschein erforderlich?
- Nein
- Auto erforderlich?
- Nein
- Motivationsschreiben erforderlich?
- Nein
- Sprachkenntnisse
- Englisch, Deutsch
