Deutsche Börse
Liquidity Quantitative Analyst(m/w/x)
Full-timeOn-siteExperienced
Frankfurt am Main
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DEDeutsche Börse
Data Scientist & Engineer(m/w/x)
Frankfurt am Main
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Building scalable data pipelines with Databricks for capital markets analytics. 3-5 years of Python, SQL, and Spark experience required. Processing high-volume financial market data, analyzing price data.
Requirements
- Master's degree in Data Science, Computer Science, Statistics, Mathematics, Quantitative Finance, or comparable field; alternatively, Bachelor's with substantial relevant experience
- 3-5 years of professional experience in data science, machine learning, or data engineering
- Strong proficiency in Python with data science libraries (pandas, NumPy, PySpark, scikit-learn)
- Solid experience with SQL and analytical databases
- Experience with Apache Spark and large-scale data processing
- Strong skills in time-series analysis and statistical methods
- Familiarity with version control (Git/GitHub) and CI/CD workflows
- Excellent communication skills; fluency in English required
- Hands-on experience with Databricks or similar cloud-based data lake house platforms
- Experience working with financial market data
- Understanding of capital markets concepts
- Experience with MLflow and MLOps practices
- German language skills
Tasks
- Design and develop machine learning models
- Deploy analytics solutions for capital markets
- Build scalable data pipelines with Databricks
- Process high-volume financial market data
- Analyze and model price data
- Model order book data and trading patterns
- Implement MLOps practices with MLflow
- Track experiments and version models
- Automate deployment pipelines
- Collaborate with business stakeholders
- Translate requirements into technical solutions
- Support data quality initiatives
- Maintain documentation for models and pipelines
- Mentor junior team members
- Contribute to team practice improvements
Work Experience
- 3 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- Python
- pandas
- NumPy
- PySpark
- scikit-learn
- SQL
- Apache Spark
- Git
- GitHub
- Databricks
- MLflow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Deutsche Börse and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DEDeutsche Börse
Data Scientist & Engineer(m/w/x)
Frankfurt am Main
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Building scalable data pipelines with Databricks for capital markets analytics. 3-5 years of Python, SQL, and Spark experience required. Processing high-volume financial market data, analyzing price data.
Requirements
- Master's degree in Data Science, Computer Science, Statistics, Mathematics, Quantitative Finance, or comparable field; alternatively, Bachelor's with substantial relevant experience
- 3-5 years of professional experience in data science, machine learning, or data engineering
- Strong proficiency in Python with data science libraries (pandas, NumPy, PySpark, scikit-learn)
- Solid experience with SQL and analytical databases
- Experience with Apache Spark and large-scale data processing
- Strong skills in time-series analysis and statistical methods
- Familiarity with version control (Git/GitHub) and CI/CD workflows
- Excellent communication skills; fluency in English required
- Hands-on experience with Databricks or similar cloud-based data lake house platforms
- Experience working with financial market data
- Understanding of capital markets concepts
- Experience with MLflow and MLOps practices
- German language skills
Tasks
- Design and develop machine learning models
- Deploy analytics solutions for capital markets
- Build scalable data pipelines with Databricks
- Process high-volume financial market data
- Analyze and model price data
- Model order book data and trading patterns
- Implement MLOps practices with MLflow
- Track experiments and version models
- Automate deployment pipelines
- Collaborate with business stakeholders
- Translate requirements into technical solutions
- Support data quality initiatives
- Maintain documentation for models and pipelines
- Mentor junior team members
- Contribute to team practice improvements
Work Experience
- 3 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- Python
- pandas
- NumPy
- PySpark
- scikit-learn
- SQL
- Apache Spark
- Git
- GitHub
- Databricks
- MLflow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Deutsche Börse and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Deutsche Börse
Industry
FinancialServices
Description
The company is a leading clearing house for energy and commodity products in Europe, ensuring secure transaction settlements.
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