Search signals, briefings, benchmarks and glossary terms.
AI agents and multi-step orchestration intended to execute or coordinate business workflows.
Official careers inventories are crawled every day. A market snapshot is published only after source coverage is checked.
The headline count is unique vacancies observed as open in the latest qualified crawl. Daily snapshots preserve additions and closures over time.
Titles and available job descriptions are assessed for AI, data, analytics, automation and model-governance work—including non-technology teams.
Only fully crawled institutions enter market comparisons. Partial or unavailable sources are shown separately rather than treated as zero hiring.
Comparative analytics include 53 fully crawled public inventories. Partial and failed sources are excluded from volume comparisons.
of observed roles sit at the five largest hiring institutions.
roles have official job-description evidence for deeper analysis.
2499 builder roles versus 787 governance and model-control roles.
of titles contain manager, lead, principal, director, VP or head.
roles qualified from responsibilities and requirements rather than an obvious AI or data title.
of observed demand sits outside technology and data job families—including operations, risk, product and corporate functions.
Start with the view that answers your immediate decision question. Every route opens the underlying vacancy evidence.
Read each financial-services business model independently through its vacancy volume, current hiring intensity and workforce posture.
Select a sector to inspect its profileConcrete programmes inferred only where official vacancy text names a product pattern, workflow or decision domain. Explore who is staffing each initiative, where it sits, which technologies recur and the exact roles supporting the inference.
20 explicit initiative patterns · evidence linkedAI agents and multi-step orchestration intended to execute or coordinate business workflows.
This is a staffing signal inferred from explicit vacancy language. It does not assert that the product is launched or deployed.
This translates vacancy evidence into the operating use cases institutions are staffing for—not just the underlying AI terms. Open any use case to see the exact roles, institutions, technologies and source links behind it.
16 signals · 53 institutions with description evidence| Capability | Bank | Insurer | Digital bank & fintech | Insurtech | Asset manager | Hedge fund & alternatives |
|---|---|---|---|---|---|---|
| GenAI, copilots & agents1203 roles | 43%604 | 38%221 | 38%269 | 15%30 | 50%51 | 50%28 |
| Data foundations & analytics1111 roles | 36%514 | 39%230 | 37%266 | 30%60 | 25%25 | 29%16 |
| AI platforms & infrastructure610 roles | 20%282 | 21%121 | 22%159 | 8%15 | 24%24 | 16%9 |
| Fraud, AML & financial crime482 roles | 11%162 | 6%36 | 20%142 | 71%142 | 0%0 | 0%0 |
| Operations & process automation386 roles | 15%206 | 11%63 | 12%83 | 5%10 | 22%22 | 4%2 |
| Risk, governance & responsible AI361 roles | 15%217 | 14%81 | 6%45 | 2%3 | 15%15 | 0%0 |
| Document & knowledge intelligence130 roles | 5%64 | 7%40 | 2%16 | 1%2 | 4%4 | 7%4 |
| Developer productivity & IT128 roles | 5%68 | 6%33 | 2%16 | 1%1 | 5%5 | 9%5 |
Select any signal to inspect its roles, institutions, sectors, technologies and evidence.
Business-unit classification answers which part of the company appears to own the vacancy. It is distinct from job function and from the AI use case: a data scientist can sit in Markets, Retail, Financial Crime or an enterprise platform team.
10 organisational homes detectedClassified from the vacancy title first and then the official description, so non-technology roles remain visible.
Recruitment evidence shows where this technology is appearing in delivery requirements. It indicates workforce demand, not a confirmed enterprise-wide installed base.
Roles where the title does not advertise AI, data or automation, but the official responsibilities show that those capabilities are being embedded in operations, risk, product and corporate teams.
2386 roles in the full snapshotCommercial, sales & distribution · Product, customer & commercial intelligence
Customer service & personalisation · Data foundations & analyticsCommercial, sales & distribution · Product, customer & commercial intelligence
Customer service & personalisation · Data foundations & analyticsMarkets, investment & treasury · Domain analytics & decision intelligence
Markets, trading & investmentStrategy, transformation & change · AI product & strategy
AI platforms & infrastructureCustomer, product & propositions · Product, customer & commercial intelligence
Data foundations & analyticsRisk, controls & compliance · Risk, compliance & control intelligence
Fraud, AML & financial crime · Operations & process automationRisk, controls & compliance · Risk, compliance & control intelligence
Fraud, AML & financial crime · Operations & process automationPeople, legal & corporate functions · Corporate-function AI & data enablement
Data foundations & analyticsCredit, underwriting & claims · Domain analytics & decision intelligence
Data foundations & analyticsObserved volume shows where recruiting demand is concentrated; 7-day additions are only counted where a career system exposes dates.
Official sourcesA simple alphabetical list of every official careers source in the daily measurement. Open any institution to inspect its public vacancy inventory directly.
63 configured institutionsCompare institutions by hiring posture, workforce mix, build priorities, named technologies and geography. Expand any profile for direct vacancy and careers-source links.
53 institutions with observed rolesAI/ML engineering
Other specialist titles 182 · Lead / principal / manager titles 57 · Director / VP / head titles 53Function mixTechnology & engineering · Risk, controls & compliance · Operations & service delivery · Data & analytics
287 roles discovered from description evidencePython · SQL · AWS · Spark / PySpark · Tableau
Pune, Gera Commerzone SEZ · Canary Wharf, 1 Churchill Place · New York, 745 7th Avenue
Risk, compliance & control intelligence
Other specialist titles 84 · Analyst / associate / early-career titles 27 · Lead / principal / manager titles 27Function mixRisk, controls & compliance · Technology & engineering · Data & analytics · Customer, product & propositions
126 roles discovered from description evidenceSQL · Python · Azure · Google Cloud / Vertex AI · Power BI
Bucharest - Dacia One · Manila (One Ayala Tower 2) · Istanbul (VADI ISTANBUL PARK)
AI/ML engineering
Lead / principal / manager titles 62 · Other specialist titles 61 · Analyst / associate / early-career titles 8Function mixRisk, controls & compliance · Technology & engineering · Commercial, sales & distribution · Customer, product & propositions
106 roles discovered from description evidenceSQL · Python · Spark / PySpark · AWS · Tableau
Bengaluru · Seattle · N/A
Operations, automation & enablement
Lead / principal / manager titles 47 · Director / VP / head titles 31 · Analyst / associate / early-career titles 25Function mixOperations & service delivery · Risk, controls & compliance · Customer, product & propositions · Data & analytics
130 roles discovered from description evidenceSQL · Python · BigQuery · Anthropic / Claude · AWS
New York, New York, United States · Tempe, Arizona, United States · Remote
Operations, automation & enablement
Lead / principal / manager titles 43 · Other specialist titles 27 · Director / VP / head titles 24Function mixOperations & service delivery · Technology & engineering · Risk, controls & compliance · Commercial, sales & distribution
102 roles discovered from description evidenceAzure · Power BI · SQL · Python · Databricks
Toronto, Ontario · Hong Kong · Boston, Massachusetts
AI/ML engineering
Director / VP / head titles 44 · Lead / principal / manager titles 23 · Senior titles 18Function mixTechnology & engineering · Operations & service delivery · Risk, controls & compliance · Markets, investment & treasury
91 roles discovered from description evidenceSQL · Python · AWS · Azure · Databricks
Bangalore, India · Kilkenny, Ireland · Hyderabad, India
AI/ML engineering
Lead / principal / manager titles 45 · Senior titles 23 · Director / VP / head titles 19Function mixTechnology & engineering · Operations & service delivery · Risk, controls & compliance · Data & analytics
73 roles discovered from description evidencePython · SQL · Azure · AWS · Docker
TORONTO, Ontario, Canada · 16 YORK ST:TORONTO · 745 THURLOW ST:VANCOUVER
Risk, compliance & control intelligence
Director / VP / head titles 51 · Analyst / associate / early-career titles 21 · Other specialist titles 16Function mixRisk, controls & compliance · Technology & engineering · Markets, investment & treasury · Data & analytics
84 roles discovered from description evidencePython · SQL · Power BI · Tableau · GitHub
New York, New York, United States of America · Mumbai, India · Budapest, Hungary
AI/ML engineering
Lead / principal / manager titles 48 · Other specialist titles 22 · Senior titles 22Function mixTechnology & engineering · Risk, controls & compliance · Credit, underwriting & claims · Customer, product & propositions
88 roles discovered from description evidenceAWS · Python · Kubernetes · Kafka · SQL
São Paulo · Palo Alto · Ciudad de México
AI/ML engineering
Lead / principal / manager titles 65 · Senior titles 19 · Director / VP / head titles 6Function mixTechnology & engineering · Data & analytics · Risk, controls & compliance · Operations & service delivery
61 roles discovered from description evidenceAWS · Python · SQL · GitHub · Kubernetes
Bangalore - Manyata Tech Park Road · Sydney CBD Area · Location not specified
AI/ML engineering
Lead / principal / manager titles 42 · Other specialist titles 22 · Senior titles 20Function mixTechnology & engineering · Risk, controls & compliance · Operations & service delivery · Data & analytics
69 roles discovered from description evidenceAWS · Python · SQL · Google Cloud / Vertex AI · GitHub
India GCC-Puppalaguda Village · Hartford, CT · Frisco, TX
Operations, automation & enablement
Lead / principal / manager titles 44 · Other specialist titles 15 · Analyst / associate / early-career titles 9Function mixOperations & service delivery · Technology & engineering · Commercial, sales & distribution · Strategy, transformation & change
60 roles discovered from description evidencePython · SQL · Anthropic / Claude · Snowflake · AWS
San Francisco, California, United States · Seattle, Washington, United States · New York, New York, United States
Search the 80 newest captured vacancies by institution, sector, role family, capability or technology. Every result opens the official job page.
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Stored daily observations make additions, closures and changes comparable over time. Trend claims remain disabled until at least eight coverage-qualified daily measurements exist.
5 daily baselinesCounts are unique live vacancies with deterministic evidence of AI, machine learning, data, analytics, model governance or automation in either the title or official job description. The persistent daily pipeline inventories every vacancy exposed by each supported public career endpoint, fetches and stores descriptions for new or changed roles, and includes only fully completed source inventories in comparative analytics. Partial and failed sources remain visible as coverage exceptions but do not affect rankings or volume comparisons. Inclusion requires an explicit high-signal phrase or a combination of delivery responsibility and named data/AI technology; generic references to being “data-driven” do not qualify. Product and initiative signals require explicit vacancy language naming a workflow, product pattern or decision domain; their staffing-footprint labels describe recruitment breadth, not implementation maturity or confirmed deployment. “New” begins when a role first enters a coverage-qualified inventory; provider posting dates are retained separately. A role becomes a closure candidate after one complete inventory miss and is marked closed only after a second coverage-qualified miss. Title, description, location, classification, reopening and closure changes are retained as versioned lifecycle events. Technology mentions are recruitment requirements, not a verified installed technology estate. Public endpoints cannot reveal unpublished, internal-only or deliberately withheld vacancies.
Every institution, vacancy and evidence item links to its public official careers source. Public inventories are crawled daily, descriptions for new or changed roles are classified, and a vacancy can contribute to more than one capability signal.
The dataset measures advertised demand, not headcount, accepted offers or technology already deployed. Changes can reflect hiring, filled roles, expired listings or source availability.
Temporarily unavailable: Bank of America, NatWest Group, Revolut, Truist, Capital One, JPMorgan Chase.
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