Associate – DB9330104 @ Deutsche Bank
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Job Details
Position Overview
Deutsche Bank Securities, Inc. is seeking an Associate – DB9330104 in New York, NY to implement a Retrieval-Augmented Generation (RAG) and Iterative Prompting pipeline integrated with a Large Language Model (LLM) and financial knowledge databases. The role focuses on automating the interpretation of trading-related inquiries and enhancing financial modeling frameworks.
Key Responsibilities
- Implement RAG and Iterative Prompting pipeline with LLM integration.
- Develop and enhance financial pricing models including SABR volatility models.
- Utilize financial data portals (Bloomberg, SNL Financial) for data collection.
- Build quantitative tools in Python for position analytics.
- Maintain and optimize automated trading systems and C++ trading infrastructure.
- Perform stress-testing and scenario analysis of interest rate options portfolios.
Qualifications
Applicants must hold a Master’s degree in Finance or a related field (or equivalent) and have at least one year of professional experience in using financial data portals and quantitative analysis techniques.
Culture & Inclusion
Deutsche Bank fosters a culture of responsibility, collaboration, and commercial insight. The firm celebrates individual and collective successes while promoting a positive, fair, and inclusive work environment for all employees.
Key skills/competency
- RAG pipeline
- Iterative Prompting
- Large Language Model
- Financial analysis
- Bloomberg
- SNL Financial
- SABR volatility
- Python
- C++
- Stress-testing
How to Get Hired at Deutsche Bank
🎯 Tips for Getting Hired
- Customize your resume: Align experiences with quantitative finance roles.
- Highlight technical skills: Emphasize Python, C++, and modeling expertise.
- Research Deutsche Bank: Understand their culture and recent news.
- Prepare for interviews: Focus on financial modeling and system optimization.