The role focuses on analyzing complex trade-flow datasets to identify bottlenecks, anomalies, and efficiency opportunities across the bank's trade lifecycle
Job Summary
The role focuses on analyzing complex trade-flow datasets to identify bottlenecks, anomalies, and efficiency opportunities across the bank's trade lifecycle.
Candidates will leverage Google Cloud Platform tools like BigQuery and Dataflow to build scalable analytical workflows and predictive models for risk mitigation.
Deutsche Bank offers a comprehensive benefits package including gender-neutral parental leaves, 100% childcare reimbursement, and sponsorship for industry certifications.
Matching Summary
The role focuses on analyzing complex trade-flow datasets to identify bottlenecks, anomalies, and efficiency opportunities across the bank's trade lifecycle.
Skills & Requirements
Must-have
Google Cloud Platform BigQuery experience
Python Pandas NumPy SciPy expertise
Time-series analysis and forecasting skills
Anomaly detection in trade datasets
Strong SQL for large datasets
Trade lifecycle and market microstructure knowledge
Nice-to-have
Vertex AI model development experience
Agentic frameworks familiarity
Cloud Composer orchestration tools
Looker or Tableau visualization skills
Mentoring junior team members
Statistical hypothesis testing rigor
Key Requirements
Leading data science program experience
Expertise in clustering and regime-shift detection
Proven track record in statistical validation
Experience with distributed data processing frameworks