Trading Data Steward Quantitative Strategist (fmd)

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