Senior Data Scientist (Finance, Copenhagen)

Job summary

This role involves working on the modeling and development of various data-driven automated processes focused on financial crime prevention. The position is part of a team dedicated to ensuring the effectiveness and documentation of models used in this area.

Responsibilities

• Design, validate, and enhance models for transaction monitoring, including segmentation and clustering.
• Develop advanced statistical models to aid in financial crime prevention.
• Validate model accuracy and robustness.
• Collaborate on methodologies for segmentation and clustering.
• Drive scenario development through risk assessment and statistical modeling.
• Support decision-making by working closely with stakeholders.
• Maintain high attention to detail and manage multiple tasks in a fast-paced environment.
• Commit to continuous learning and apply innovative technologies to improve system capabilities.

Qualifications

• Master’s degree in statistics, mathematics, computer science, or a related quantitative field.
• Several years of experience in data science or analytics, preferably in financial services or financial crime prevention.
• Proficiency in Databricks, Python, and SQL, with hands-on experience in statistical modeling and machine learning.
• Strong analytical mindset and practical problem-solving skills.
• Excellent communication skills and ability to translate complex findings into actionable insights.
• Proven ability to design and implement data models and conduct predictive analysis.

Skills

• Strong organizational skills and ability to manage multiple priorities.
• Curiosity, adaptability, and commitment to delivering measurable results.
• Collaborative mindset, enjoying teamwork with data scientists, analysts, and developers.

Tools

• Databricks, Python, SQL.