Data Scientist

vor 4 Monaten


Zürich ZH, Schweiz Bosshard & Partner Unternehmensberatung AG Vollzeit

**We are supporting a Swiss private bank in the Zurich area in their search for an Data Scientist in Financial Markets.**:
**BESCHÄFTIGUNGSGRAD**

100%

**ARBEITSORT**

Zürich / Remote (nur aus der Schweiz)

**STARTDATUM**

24.09.2024

**REFERENCE**

3127

**TYP**

Contracting

Bitte beachten Sie, dass wir aufgrund der geltenden schweizerischen Gesetzgebung ausschliesslich Bewerbungen von Schweizer Staatsbürgern, EU-Bürgern sowie Personen mit gültiger Arbeitserlaubnis berücksichtigen können.

Eine Remote-Tätigkeit aus dem Ausland ist nicht möglich.

**Tasks**:

- Build data infrastructure for Trading Analytics, including Databases and Data Lake
- Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales
- Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development
- Write well-documented production code and algorithms, mainly in Python and Scala
- Build systems for collection and transformation of large data sets to enable model development
- Understand Machine Learning literature and techniques to mentor team members
- Assist with the execution of Big Data solutions and related technologies
- Present results from AI and Financial models in a proficient manner to stakeholders
- Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines

**Requirements**:

- Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike
- 4+ years of work experience as a Data Scientist
- Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning
- Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java
- Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar)
- Knowledge of Data Architecture, Databases (including Oracle, MS-SQL, and MongoDB), Data Lakes, and Cloud Computing (e.g. MS Azure or Snowflake)
- Knowledge of Power BI, Tableau, and VBA
- Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods
- Knowledge of Spark, Databricks, Kafka, and real-time analytics is a plus
- Familiarity with Agile framework, including Jira, is a plus
- Fluency in English

**Soft Skills**
- Collaborative, team player, open minded, and easy to work with
- Proficient presentation skills and high attention to detail
- Able to explain technical results to non-technical audiences

**Interessiert? Oder kennen Sie jemanden, der auf die Stelle passen könnte?**:



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