Quantitative Developer – Counterparty Credit Risk, AVP – Citi

Quantitative Developer – Counterparty Credit Risk, AVP – Citi

Quantitative Developer – Counterparty Credit Risk, AVP – Citi

Efinancialcareers

Reed

London

3 hours ago

No application

About

Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job OverviewAre you a talented and meticulous quantitative developer eager to contribute to cutting-edge analytical models for derivatives risk and exposure? Citi is seeking a Quantitative Developer to join its Counterparty Credit Risk Quant Development Team, a key group within the Markets Quantitative Analysis (MQA) Organization. This dynamic role offers the opportunity to contribute across the entire model lifecycle, from research and development to rigorous testing, documentation, and seamless delivery into the Firm's risk management processes. Team/Role Overview:The Counterparty Credit Risk Quant Development Team plays a pivotal role within Citi's MQA Organization, responsible for developing sophisticated analytical models for derivatives risk and exposure calculations firm-wide. This team's scope is broad, encompassing the mathematical derivation of quantitative models, meticulous coding, rigorous testing, comprehensive documentation for formal validation, and continuous support for the delivery and integration of these models into both internal and regulatory risk management frameworks. You will be part of a collaborative environment focused on advancing the quantitative toolbox and optimizing analytical libraries. What You'll Do: Contribute to the development and maintenance of in-house C++ and Python model libraries.Build an internal UI tool for model experimentation and customization.Assist in advancing the quantitative toolbox by exploring new technologies, algorithms, and numerical techniques.Participate in general efficiency imp