Data Scientist Financial Markets
- Stellennummer 2024021601
- Titel Data Scientist Financial Markets
- Firmenbeschreibung
We are an IT consulting company providing high-quality services to banking and insurance clients in Switzerland. For over 25 years we have been building up our expertise across the whole IT range including project management, business analysis, requirements engineering, software engineering, system engineering, testing as well as application and system administration.
- Aufgaben
Responsibilities
- 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 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
- Assist with the execution of Big Data solutions and related technologies
- Present results from AI and Financial models to stakeholders
- Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines
- Anforderungen
Requirements
- Several years of 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 (e.g. in Python, R, Matlab, Scala, C++, Java)
- Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar)
- Knowledge of Data Architecture, Databases (Oracle, MSSQL, 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
- Fluent in English
Nice to have
- Knowledge of Spark, Databricks, Kafka, and real-time analytics
Personality
- Good communication and presentation skills
- Team player and service-oriented personality
- Structured working style
- Angebot
We are a strong customer focused company working mainly for Top 500 companies. We pay great attention to further training and development, carrier opportunities and working conditions. We provide these opportunities to Swiss and EU residents. If you are strong in the above mentioned fields do not hesitate to send us your application and let us inform you about this.
- Datum 01.03.2024
- Kategorie Data Warehouse/Business Intelligence/CRM
- Ort Zürich