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. If the position is not a perfect match and you wish to receive other opportunities directly, you can send us your CV anyway via this advert or to jobs[at]itcag[dot]com.
Contact us for further information regarding our company, our positions or our attractive payroll-only-program: +41 41 760 77 01.
About us:
ITech Consult is a certified ISO 9001:2015 Swiss company with offices also located in Germany and Ireland. ITech Consult is specialised in delivering IT candidates for contract work. We were founded in 1997 by IT professionals; hence we well understand what it means to be professionally supported in your search for a new project and being employed.
Adresse
ITech Consult AG
+41417607701
