Description

Research and prototype risk model for newly issued ETFs. Extend the scope for the Hybrid VaR as an benchmark for existing VaR methodology.
Assist the NSCC MTM passthrough effort. Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team.

Qualifications:
5 years of experience in financial market risk management and quantitative modeling
Master’s degree in quantitative disciplines
Proficient in SQL, any other high level programming languages, such as R, Python, Matlab, is a plus
Hands on experience on developing complex financial models.
Solid equity production knowledge, especially ETFs
Detail oriented and team player

Key Skills
Education

Master's degree

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