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.
Veröffentlicht am
16-02-2026
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
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