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Intern - Business & Data Operations(m/w/x)
Quality assurance on market data distribution for financial vendors and authorities. Analytical thinking and problem-solving skills required. Support with functional questions and automated monitoring workflows.
Requirements
- Enrolled in degree program (economics, business, IT, data science, or comparable)
- Analytical thinking and problem-solving skills
- Interest in financial markets, derivatives, post-trade processes
- Basic understanding or motivation to learn clearing concepts
- Interest in regulatory topics (derivatives, clearing)
- Service-oriented mindset, understanding client needs
- Clear communication and teamwork skills
- Proactive, reliable, and eager to learn
- Proficiency in Microsoft Office
- Exposure to Databricks, Python, SQL, or data analysis tools (plus)
- Fluent in written and spoken English
Tasks
- Support market participants with functional questions
- Perform quality assurance on market data distribution
- Contribute to system and data model changes
- Handle exceptional situations
- Run and refine automated monitoring workflows
- Analyze alerts and anomaly-detection outputs
- Reduce manual checks and identify potential issues
- Oversee automated market-data distribution pipelines
- Support data quality checks
- Analyze machine-learning-supported controls
- Detect irregularities and safeguard data accuracy
- Provide fast, AI-supported functional support
- Investigate root causes of customer inquiries
- Resolve technical and content-related issues
- Support product rollouts and release cycles
- Conduct testing and validation tasks
- Document operational deployment processes
- Identify automation opportunities
- Document manual processes
- Support data analysis
- Improve workflow efficiency and scalability
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Databricks
- Python
- SQL
- Microsoft Office
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Intern - Business & Data Operations(m/w/x)
Quality assurance on market data distribution for financial vendors and authorities. Analytical thinking and problem-solving skills required. Support with functional questions and automated monitoring workflows.
Requirements
- Enrolled in degree program (economics, business, IT, data science, or comparable)
- Analytical thinking and problem-solving skills
- Interest in financial markets, derivatives, post-trade processes
- Basic understanding or motivation to learn clearing concepts
- Interest in regulatory topics (derivatives, clearing)
- Service-oriented mindset, understanding client needs
- Clear communication and teamwork skills
- Proactive, reliable, and eager to learn
- Proficiency in Microsoft Office
- Exposure to Databricks, Python, SQL, or data analysis tools (plus)
- Fluent in written and spoken English
Tasks
- Support market participants with functional questions
- Perform quality assurance on market data distribution
- Contribute to system and data model changes
- Handle exceptional situations
- Run and refine automated monitoring workflows
- Analyze alerts and anomaly-detection outputs
- Reduce manual checks and identify potential issues
- Oversee automated market-data distribution pipelines
- Support data quality checks
- Analyze machine-learning-supported controls
- Detect irregularities and safeguard data accuracy
- Provide fast, AI-supported functional support
- Investigate root causes of customer inquiries
- Resolve technical and content-related issues
- Support product rollouts and release cycles
- Conduct testing and validation tasks
- Document operational deployment processes
- Identify automation opportunities
- Document manual processes
- Support data analysis
- Improve workflow efficiency and scalability
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Databricks
- Python
- SQL
- Microsoft Office
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Deutsche Börse Group
Industry
FinancialServices
Description
The company develops and operates IT infrastructure and drives digital transformation in capital markets.
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