North America extended its dominance for machine learning hiring among private banking firms in the three months to March.
The number of roles in North America accounted for 51.1% of total machine learning jobs, up from 46.2% in the same quarter last year.
This was followed by the Middle East and Africa, which saw a year-over-year change of 0.8 percentage points in machine learning roles.
The figures are compiled by GlobalData, which tracks the number of new job postings from key companies in various sectors over time. Using textual analysis, these job postings are then categorized by topic.
GlobalData’s thematic approach to industry activity seeks to group key company information by topic to see which companies are best positioned to weather the coming disruptions in their industries.
These key topics, which include machine learning, are chosen to cover “any problem that keeps a CEO up at night.”
Tracking them through job postings allows us to see which companies are leading the way on specific issues and which are dragging their feet – and more importantly where the market is growing and contracting.
Which countries are experiencing the fastest growth in machine learning job openings in private banking?
The fastest growing country was the United States, which saw 41.5% of all machine learning job openings in the three months ending March 2021, rising to 45.5% in during the three months ending in March of this year.
Next come Canada (up 0.899999999999999 percentage points), South Africa (0.8) and Poland (0.2).
The top country for machine learning positions in private banking is the United States, which saw 45.5% of all advertised positions in the three months ending March.
Which cities are the biggest hubs for machine learning workers in private banking?
Some 6.8% of all machine learning positions in private banking were advertised in New York (US) in the three months ending March.
Next come Pune (India) with 5.1%, Bengaluru (India) with 4.7% and London (United Kingdom) with 4.2%.