FWA Calendar of Events from January to December 2020

FWA welcomes 2020 and is pleased to kick-off the year with our first quarterly weave-in session! FWA is pleased to partner with the CFA Society Singapore for a networking session to exchange fresh ideas, engage in tete-a-tetes and explore solutions to solve the world’s financial problems. Well, perhaps a tall order, but a get together of intellectual minds certainly makes for interesting discussion and discovery; not least about what more we can do to promote better representation of women in leadership positions in Finance and in addition to middle, back office and sales & marketing roles, the further growth of women investors, fund managers and technology leaders within financial organisations.

Founded in September 1987, the CFA Society Singapore is a professional society that brings together practitioners in the investment and fund management industry in Singapore. Its principal objective is to promote and uphold professional standards and ethical practice in financial analysis and investment management in Singapore.

FWA has been allocated 25 seats for our members, so please register quickly. Registration at the event starts at 11:30 p.m. Lunch shall be provided.

AI – The Transformer of Asset Management & Women’s Role in it

BlackRock’s Women’s Initiative & Allies Network presents a fireside chat with Sherry Marcus and Rachel Schutt, Co-heads of BlackRock AI Labs.

AI Labs is the central hub for BlackRock’s initiatives in data science and artificial intelligence to create best practices and solve the high priority problems to bring benefits to our clients and investors.  

The theme of discussion is:

AI – The Transformer of Asset Management & Women’s Role in it

We will explore:

• How will AI evolve in the coming years for the financial services industry?
• How the financial services industry can best prepare for this new evolution?
• BlackRock’s strategy towards advancing and embracing data science?
• The role women are playing in this prolific growth of data science?