Trading Quantitative Strategist - Credit - Vice President
Deutsche Bank UK
New York, NY, United States
Base: $155,000 to $252,500; bonus/equity: not spec...
Hybrid
Quantitative credit strategist
Production quality applications
Credit markets mathematics
You will work on a variety of development projects from sourcing, onboarding and cleaning crucial datasets to using this data for pre-trade relative value analysis along with many types of flow analysis increasingly using machine learning and natural language techniques to provide deeper insights and aid in strategic decision making
Job Summary
You will work on a variety of development projects from sourcing, onboarding and cleaning crucial datasets to using this data for pre-trade relative value analysis along with many types of flow analysis increasingly using machine learning and natural language techniques to provide deeper insights and aid in strategic decision making.
Our credit trading business is fully committed to technology as a key differentiator of performance.
A diverse and inclusive environment that embraces change, innovation, and collaboration.
Matching Summary
You will work on a variety of development projects from sourcing, onboarding and cleaning crucial datasets to using this data for pre-trade relative value analysis along with many types of flow analysis increasingly using machine learning and natural language techniques to provide deeper insights and aid in strategic decision making.
Salary
Base: $155,000 to $252,500; Bonus/Equity: Not specified; Benefits: health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
Skills & Requirements
Must-have
Quantitative credit strategist
Production quality applications
Credit markets mathematics
Front office requirements
Machine learning techniques
Data sourcing and cleaning
Nice-to-have
Collaborative global team
Hybrid working model
Inclusive work environment
Problem-solving mindset
Presenting complex data stories
Key Requirements
Math, hard science/engineering education
Relevant front office investment banking experience
Proficiency in q/KDB+/Python/C++/Java/SQL/Javascript/html5/css