Trading Data Steward / Quantitative Strategist (f/m/d)

Deutsche Börse Group; Frankfurt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Deutsche Börse Group in Frankfurt is seeking a Trading Data Steward / Quantitative Strategist to establish domain-level data ownership for trading data assets. You will play a crucial role in ensuring alignment with data governance standards and will take on responsibilities related to quantitative research and market microstructure analysis.

The ideal candidate has a degree in a quantitative discipline and relevant experience in data governance or analysis. Coding skills in Python and SQL are essential, and knowledge of trading systems is advantageous.

Qualifikationen

• University degree in mathematics, economics, computer science, or related discipline.
• Professional experience in data governance or quantitative analysis.
• Understanding of trading lifecycle processes and data management.
• Organized with analytical skills and attention to detail.
• Proficient in Python and SQL.

Aufgaben

• Design and improve data governance policies for regulatory compliance.
• Coordinate data governance across business lines and IT functions.
• Collaborate with experts to define data products and contracts.
• Analyze market data's impact on trading microstructure design.
• Support Data Governance Council preparation and presentations.

Kenntnisse

Data governance policies

Analytical skills

Collaboration

Problem-solving

Coding in Python

SQL proficiency

Trading lifecycle processes

Market microstructure

Ausbildung

University degree in mathematics, economics, or related field

Tools

Databricks

Atlan

GCP

Jobbeschreibung

Your area of work

The Trading Design team within Trading Design & Delivery conceptualizes, implements, and maintains processes around the integration of new products, services, and functionalities of the trading system. The team takes a leading role in the design of functional and data architecture, enabling professional data analytics and informed trading decisions across the organization.

As a Trading Data Steward / Quantitative Strategist, you will establish domain-level data ownership for trading data assets, ensure alignment with enterprise-wide data governance standards, and progressively take on quantitative research responsibilities related to trading and market microstructure analysis.

Your Responsibilities

• Design, develop, and continuously improve data governance policies, procedures, and guidelines, ensuring alignment with regulatory requirements, industry standards, and organizational objectives
• Coordinate with business lines, data product teams, and IT functions to implement data governance policies across lines of defense, supporting their effective integration into daily operations
• Collaborate closely with trading business experts, product owners, and IT teams to define data products, data contracts, and domain semantics, including the development of data quality reporting in self-service mode
• Review and continuously improve data governance roles and responsibilities (including RACI matrices), testing and iteratively enhancing them to ensure operational effectiveness
• Analyze and evaluate market data and monitor the impact of changes on trading market microstructure design
• Support the set‑up, preparation, and presentations for Data Governance Council and related forums, and report on workstream progress to senior management and stakeholders

Your profile

• You have successfully completed your university degree in mathematics, economics, computer science, or a related quantitative discipline, or have relevant work experience in data governance or quantitative analysis
• You provide relevant professional experience in business consultancy, change initiatives, or data governance, involving policies, concepts, or standards definition; experience with data management in big data/data lake environments is an advantage
• You have a solid understanding of trading lifecycle processes, market microstructure, trading systems, and enterprise data management concepts including data modeling, metadata management, data architecture principles, and data quality management
• You are organized with strong analytical and problem‑solving skills, attention to detail, and the ability to articulate complex matters in a clear and structured way, combined with strong collaboration and interpersonal skills
• You have coding skills, ideally in Python and SQL, and knowledge of exchange‑traded derivatives; experience with Databricks, Atlan, and GCP is advantageous
• You are proficient in written and spoken English, including strong technical writing skills; German language skills will be an asset