Trading Quant (Copenhagen)

Job summary

The role involves enhancing the trading process through data-driven decision-making, focusing on improving liquidity sourcing and execution risk management. The position is full-time and based in Copenhagen, Denmark.

Qualifications

• Master's degree in Economics, Finance, Mathematics, Engineering, or a related field.
• Proficiency in Python and SQL.
• Fluent in English, both written and verbal.

Responsibilities

• Collaborate with traders to address execution challenges by providing data, frameworks, and tools.
• Implement AI use cases utilizing existing data models.
• Lead projects that integrate business and technology to deliver client outcomes.
• Expand the Trading Data Model and its applications for data-driven decision-making.
• Engage with internal and external stakeholders and technology providers.
• Provide data insights for client services and senior management as needed.

Skills

• Strong analytical and technical problem-solving abilities.
• Effective project management skills within virtual team settings.
• Excellent stakeholder management and relationship-building skills.

Tools

• Experience with data modeling tools such as dbt is preferred.
• Familiarity with SimCorp Dimension and Snowflake is advantageous.