
Typical Day in Role:
• Champions a customer focused culture to deepen client relationships and leverage broader Bank
relationships, systems, and knowledge.
• Help implement and test US mortgage related products, such as whole loan and non-agency residential mortgage-backed security models (RMBS) for the Bank’s US whole loan trading/RMBS business
• Help implement and test quantitative models within the credit asset class.
• Provide quantitative support to Front Office Credit trading desks by building customized tools,
performing intraday trading support and running ad hoc analysis.
• In active collaboration with other stakeholders including but not limited to trading desk, technology support and Trade floor risk management teams to deliver the high-quality outcome regarding new models’ integration and providing quantitative support of the existing businesses.
Technology Stack:
• Primary development in C++
• Supporting tools include Python and other scripting languages
Candidate Requirements/Must Have Skills:
Nice-To-Have Skills:
Soft Skills Required:
• Good communication and interpersonal skills and a team player
• Ability to work well in a fast-paced environment with changing priorities
Education:
Post-secondary education in mathematics, Computer Science, Software Engineering, Physics or other quantitative areas – Quant/mathematical/finance masters are an asset