Data Scientist/Engineer in Financial Markets

Data Scientist/Engineer in Financial Markets - Trading/Azure/Python/Scala/Machine Learning


Project / Role:

For our clients in finance sector in Zurich we are looking for Data Scientist/Engineer in Financial Markets.


Main 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.
* Create software applications, user interfaces, APIs, dashboards, and automated reports for business users.
* 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.


Skills / 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, MSSQL, and MongoDB), Data Lakes,

and Cloud Computing (e.g. MS Azure or Snowflake).

* Knowledge of PowerBI, 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.
* 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.


Language:

* English C1


Reference No.: 923397OK

Role: Data Scientist/Engineer in Financial Markets

Industry: Finance

Location: Zurich und Region

Workload: 80%-100%

Start: asap (latest 01.08.2024)

End: 31.12.2024 (with possibility of extension)


Should you find yourself suitable for this position then please send us your complete CV using the link in this advert.

Contact us for further information regarding our company, our positions or our attractive payroll-only-program.