Cissy Chan is a quantitative researcher at BlackRock’s Systematic Fixed Income (SFI) team.

She is responsible for driving innovation in research techniques, using machine learning methods and novel data sources to generate new insights for SFI’s hedge fund and long-only portfolios. Her contributions span from building models and signals for alpha generation, to differentiated investment outcomes for real money clients.

Cissy started her career at BlackRock in 2014 after graduating from Imperial College London with a first class honours in Mathematics. Prior to her current role, she has also worked in the Financial Markets Advisory team, where she focused primarily on building non-performing loan valuation and default models for clients in Greece and Italy.

Cissy is also an engaged and devoted member of multiple social and diversity committees within the scope of the Fixed Income and Systematic businesses as well as the wider firm.