How to read this · Hiring themes aggregate a point-in-time census of evidence-matched public vacancies; individual vacancies are intentionally not shown. Disclosures come from official investor materials. News is retained source coverage mentioning the organisation—not a claim of activity by itself.
Hiring intelligence
What the hiring portfolio indicates
A thematic view of the capabilities, functions and workforce mix visible across the latest careers census. Counts show how many evidence-matched vacancies contributed to each theme.
Leading build themes
Data foundations & analytics62
GenAI, copilots & agents46
AI platforms & infrastructure33
Operations & process automation31
Risk, governance & responsible AI31
Fraud, AML & financial crime29
Credit & underwriting10
Customer service & personalisation5
Where demand sits
Risk, controls & compliance48
Technology & engineering36
Data & analytics28
Customer, product & propositions18
Operations & service delivery15
Finance & corporate planning8
Workforce mix
Risk, compliance & control intelligence40
Data engineering & architecture20
Data science & applied research19
Product, customer & commercial intelligence19
AI platform & MLOps16
AI/ML engineering16
Named technology signals
SQL59
Python52
Azure33
Google Cloud / Vertex AI21
Power BI19
Kubernetes18
Spark / PySpark18
SAS15
Disclosures
What the organisation has said about AI
Source-linked findings from official filings, investor presentations and published calls.
Risk and governanceRisk and controlExplicit
ING flags operational risks from flawed AI outputs
ING has identified operational and IT risks arising from incomplete, inaccurate, or flawed outputs produced by algorithms and data sets used in artificial intelligence.
“including any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence”
Advanced AI and quantum computing present cybercrime and regulatory challenges
ING disclosed that cybercrime risks, cybersecurity legislation, and data privacy challenges are being impacted by the use of emerging technologies, including advanced forms of artificial intelligence and quantum computing.
“risks and challenges as a consequence of the use of emerging technologies, such as advanced forms of artificial intelligence and quantum computing”
AI identified as source of operational and data risk
ING disclosed operational and IT risks stemming from potential system issues, including risks arising from incomplete, inaccurate, or flawed outputs generated by the algorithms and data sets used in artificial intelligence.
“any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence”
The bank noted that the rising use of AI is magnifying the speed, scale, and sophistication of cyber-attacks. Additionally, emerging technologies like advanced AI and quantum computing present cybersecurity and data privacy challenges.
“The growing use of AI is increasing the speed, scale and sophistication of cyber-attacks, while ING's continued reliance on technology and third parties reinforces the importance of strong cyber resilience.”
AI algorithms and datasets pose operational risks of flawed outputs
ING disclosed operational and IT risks that may arise from incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilised in artificial intelligence.
“any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence”
Advanced AI and quantum computing increase cybercrime risks
ING identified cybersecurity and data privacy challenges, including the effects of cyberattacks and regulatory changes, as risks resulting from the use of emerging technologies such as advanced forms of artificial intelligence and quantum computing.
“risks and challenges as a consequence of the use of emerging technologies, such as advanced forms of artificial intelligence and quantum computing”
AI identified as source of operational and algorithmic risk
ING has disclosed operational and IT risks associated with the use of artificial intelligence, specifically pointing to potential hazards arising from incomplete, inaccurate, or flawed outputs from datasets and algorithms.
“including any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence”
Emerging technologies and advanced AI expand cybercrime exposure
The bank risks facing increased cybercrime, cyberattacks, and changing regulatory demands concerning cybersecurity and data privacy due to the adoption of emerging technologies such as advanced AI and quantum computing.
“including such risks and challenges as a consequence of the use of emerging technologies, such as advanced forms of artificial intelligence and quantum computing”
ING details operational and cyber risks from artificial intelligence
ING has identified operational risks associated with incomplete, inaccurate, or flawed outputs from AI algorithms and datasets. Additionally, the bank noted cybersecurity and data privacy challenges linked to emerging technologies, specifically highlighting advanced forms of artificial intelligence and quantum computing.
“any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence (20) risks and challenges related to cybercrime including the effects of cyberattacks and changes in legislation and regulation related to cybersecurity and data privacy, including such risks and challenges as a consequence of the use of emerging technologies, such as advanced forms of artificial intelligence and quantum computing”
ING identifies operational risks from flawed AI outputs
ING has disclosed operational and IT risks stemming from potential inaccuracies, incompleteness, or flaws in the outputs generated by algorithms and datasets used in its artificial intelligence applications.
“any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence”
Advanced AI and quantum computing flag cybercrime risks
ING identified cybercrime and regulatory challenges emerging from the adoption of advanced technologies, explicitly naming advanced artificial intelligence and quantum computing as sources of these risks.
“risks and challenges as a consequence of the use of emerging technologies, such as advanced forms of artificial intelligence and quantum computing”