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Deutsche Börse

Quantitative Analyst (f/m/d)

Deutsche Börse
Luxembourg · Full-time · Not Applicable

Your career at Deutsche Börse Group

Your area of work:

As part of Clearstream Fund Services, you will support the Product department with the data design, prototyping, testing, and implementation of new business cases. Additionally, you will have a central role in the roll-out of the data quality framework across multiple business segments and streams, providing support to businesses during both the transformation and maintenance phases.

Your responsibilities:


  • Collaborate with the product team to understand data requirements and support new business cases, including design, prototyping, and testing phases.
  • Develop data dashboards and reports using tools like Power BI.
  • Implement data-related projects using agile methodologies and document processes.
  • Define and develop data quality frameworks, policies, standards, and procedures.
  • Conduct data quality assessments and prototype KPIs.
  • Implement and operationalize data quality monitoring tools.
  • Facilitate resolution of data quality issues and report progress to senior management.
  • Maintain documentation and support impact assessments.
  • Develop and maintain effective relationships with internal stakeholders.


Your profile:


  • Educational background in a quantitative discipline (Quantitative Finance, Statistics, Computer Science, Engineering, or similar).
  • 2-3 years of relevant work experience in quantitative roles (data/business analyst, model developer) focusing on product development, data quality, and/or data analytics.
  • Proven experience in solutions conceptualization, prototyping, and testing phases; fluency in Python/R/SQL or similar, and Power BI.
  • Experience with data management and governance in big data and/or data lake environments.
  • Sound judgment and the ability to articulate complex concepts succinctly and clearly.
  • Attention to detail, strong analytical and problem-solving skills, with the ability to draw accurate conclusions from complex data.
  • Good understanding of financial markets and products; familiarity with post-trade business and Financial Market Infrastructures is an advantage.
  • Sound knowledge of statistics and econometric methods and their application.
  • Experience in business analysis interfacing with cross-functional teams is an advantage.
  • Proactive, willing to take responsibility and learn quickly; pragmatic, result-oriented approach to work.
  • Ability to effectively operate across various functions and business areas.
  • High commitment, team spirit, excellent communication, and interpersonal skills.
  • Excellent command of written and spoken English; German and/or French is an asset.

Key Skills

Ranked by relevance

prototyping big data
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Posted
Dec 21, 2024
Type
Full-time
Level
Not Applicable
Location
Luxembourg

Industries

Financial Services

Categories

Research Analyst Information Technology

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