Quantitative Analyst (f/m/d)

Date: 1 Dec 2024

Location: Luxembourg, LU, L-1855

Company: 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.