Faisal Shamsee, co-head of Goldman Sachs Singapore and senior engineering executive, is leaving the bank after more than two decades, according to Bloomberg. His departure marks a significant change in the firm’s Singapore engineering operations. Shamsee joined Goldman Sachs in 2002 after interning there in 2001 and later became a managing director and partner.
According to his LinkedIn profile, Shamsee held multiple senior engineering positions: global head of developer experience and runtime in Goldman Sachs’ core engineering division, head of core engineering in Asia Pacific, and head of engineering for Singapore. His broad portfolio reflected his influence within the bank’s technology strategy.
Goldman Sachs’ Singapore office employs more than 1,300 people and serves as the firm’s Southeast Asia hub, with several hundred IT staff on its roster. The office represents a significant technology center for the bank’s regional operations.
Shamsee became co-head of Singapore during a prior leadership change, when the previous Singapore head relocated to Shanghai to become co-head of Goldman Sachs’ China business. He was noted as one of the figures holding real sway in Singapore banking because he controlled technology strategy and hiring decisions.
His exit arrives as Goldman Sachs and other banks expand artificial intelligence across their operations. In his final LinkedIn post, Shamsee referenced a visit from John Madsen, Goldman’s global chief technology architect, who discussed AI, cloud computing, and data priorities.
The departure of a partner-level engineer after nearly 25 years at Goldman Sachs reflects a broader competition for seasoned technical leaders across global finance. In Singapore specifically, the finance sector created an estimated 6,500 jobs, including 1,700 technology roles, yet labor shortages persisted. Employment Pass restrictions—Singapore’s work visa rules for foreign professionals—remained in place, adding to recruitment challenges.
Engineering heads now carry increased weight in technology choices and hiring decisions, making retention of such talent tougher and exits more operationally disruptive.