The Quantitative Strategist is responsible for developing quantitative models and risk management solutions to meet business and regulatory needs using Python and C++
Job Summary
The Quantitative Strategist is responsible for developing quantitative models and risk management solutions to meet business and regulatory needs using Python and C++.
The role involves collaboration with global teams in London and Singapore to deliver optimized, scalable solutions for liquidity risk and funding optimization.
Deutsche Bank offers flexible working arrangements, comprehensive insurance benefits, and a culture of continuous learning and support.
Matching Summary
The Quantitative Strategist is responsible for developing quantitative models and risk management solutions to meet business and regulatory needs using Python and C++.
Skills & Requirements
Must-have
Strong programming skills in C++ and Python
Quantitative strategic modeling
Risk management and pricing solutions
Relational database design experience
Strong communication skills
Experience with financial products like Bonds and Swaps
Nice-to-have
Applied econometrics knowledge
Knowledge of linear and integer programming
Experience with liquidity risk frameworks
Collaborative work with global teams
Flexible working arrangements
Continuous learning culture
Key Requirements
At least 8 years experience in Banking or Software Development
Minimum 3 years experience with relational database design
Strong educational background in Engineering or Science