Hiring activity related to robotics increased by a CAGR of 36% in the private banking industry since 2020  

The global private banking industry witnessed a 36% rise in compound annual growth rate (CAGR) in new job postings related to robotics since 2020, according to GlobalData's Job Analytics database. New job postings increased by 63% year-on-year in 2021, and by 13% year-on-year in 2022. 

Notably, computer and mathematical occupations jobs accounted for 48% share of the global private banking industry’s robotics-related new job postings since 2020. 

Management occupations, with a share of 48%, emerged as the top robotics-related job roles within the private banking industry since 2020, with new job postings increasing by 120% year-on-year in 2021 and by 25% year-on-year in 2022.  

Management occupations came in second with a share of 23%, with new job postings rising by 53% year-on-year in 2021 and by 30% in 2022. 

The other prominent robotics roles include business and financial operations occupations (13% share), and architecture and engineering occupations (5% share). 

The top five companies, in terms of the number of new job postings tracked by GlobalData, since 2020 were JPMorgan Chase, UBS Group, Citigroup, KBC Group, and Bank of America. Together they accounted for a combined share of 49% of all robotics-related new jobs in the private banking industry. 

JPMorgan Chase posted 953 robotics-related jobs since 2020, followed by UBS Group with 873 jobs, and Citigroup with 770 jobs, according to GlobalData’s Job Analytics database.

New job postings by JPMorgan Chase increased by 120% year-on-year in 2021 and by 39% year-on-year in 2022, while those by UBS Group increased by 56% in 2021 and by less than 1% in 2022. 

The largest share of robotics-related new job postings in the private banking industry since 2020 was in the US with 26%, followed by India (19%) and the UK (7%). The share represented by the US remained flat at 27% in 2021 and 2022.

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.   

GlobalData’s Job Analytics database uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries.