AML jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-29, AML appears in 264 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning AML, with demand share up 9.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
264
Demand vs prior month
up 9.6% vs the prior 4 weeks
Top role · 29.2% of skill postings
Top hiring metro
London

Which roles want AML?

Upload your resume and Skillenai will show which roles your AML experience fits, which skills you already cover, and what is missing.

Frequently asked questions about AML

+Is AML in demand in 2026?

Yes. AML appears in 264 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning AML (29.2% of all postings mentioning AML).

+What jobs require AML?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning AML are Compliance Program Manager (6.5% of that role’s postings mention AML), Risk Analyst (6.2% of that role’s postings mention AML), Credit Risk Analyst (5.0% of that role’s postings mention AML).

+What skills are commonly paired with AML?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), AML most often appears alongside KYC, Transaction monitoring, SQL, sanctions screening, Python.

+Where is AML most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring AML are London, Singapore, Pune, New York City, Mumbai, according to the Skillenai jobs index.

+How can I keep up with new AML content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning AML alongside the jobs index. You can subscribe to a daily email digest of new AML content from your Skillenai account.

+Which skills come before and after AML?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring AML — last 90 days

Career paths around AML

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before AML

Before AMLJira → AML: 3 observed employer moves with this skill pairAgile → AML: 2 observed employer moves with this skill pairdeployment → AML: 2 observed employer moves with this skill pairFRD → AML: 2 observed employer moves with this skill pairBRD → AML: 2 observed employer moves with this skill pairJAD → AML: 2 observed employer moves with this skill pairstakeholder demos → AML: 1 observed employer moves with this skill pairKYC → AML: 1 observed employer moves with this skill pairAMLJira: 3 movesJira3 movesAgile: 2 movesAgile2 movesdeployment: 2 movesdeployment2 movesFRD: 2 movesFRD2 movesBRD: 2 movesBRD2 movesJAD: 2 movesJAD2 movesstakeholder demos: 1 movesstakeholder demos1 movesKYC: 1 movesKYC1 moves

Skills after AML

After AMLAML → KPIs: 2 observed employer moves with this skill pairAML → python: 2 observed employer moves with this skill pairAML → scikit-learn: 1 observed employer moves with this skill pairAML → predictive analysis: 1 observed employer moves with this skill pairAML → sanctions: 1 observed employer moves with this skill pairAML → feature planning: 1 observed employer moves with this skill pairAML → Money laundering investigation: 1 observed employer moves with this skill pairAML → ETL pipelines: 1 observed employer moves with this skill pairAMLKPIs: 2 movesKPIs2 movespython: 2 movespython2 movesscikit-learn: 1 movesscikit-learn1 movespredictive analysis: 1 movespredictiveanalysis1 movessanctions: 1 movessanctions1 movesfeature planning: 1 movesfeature planning1 movesMoney laundering investigation: 1 movesMoney launderinginvestigation1 movesETL pipelines: 1 movesETL pipelines1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: Jira3
Before: Agile2
Before: deployment2
Before: FRD2
Before: BRD2
Before: JAD2
Before: stakeholder demos1
Before: KYC1
After: KPIs2
After: python2
After: scikit-learn1
After: predictive analysis1
After: sanctions1
After: feature planning1
After: Money laundering investigation1
After: ETL pipelines1

Roles most likely to require AML

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Compliance Program Manager26.5%
Risk Analyst46.2%
Credit Risk Analyst15.0%
Professional Services Engineer23.6%
Internal Auditor13.4%
Principal Product Manager62.9%
Lead Software Engineer22.7%
Quality Assurance Analyst52.6%
Product Director12.4%
Mobile Software Engineer22.4%

Roles with the most AML postings

RolePostings mentioning skillShare of skill postings
Product Manager7729.2%
Business Analyst186.8%
Software Engineer134.9%
Data Analyst103.8%
Data Scientist103.8%
Compliance Quality Assurance Specialist62.3%
Principal Product Manager62.3%
Product Owner51.9%
Program Manager51.9%
Quality Assurance Analyst51.9%

Top companies posting jobs requiring AML

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring AML
CompanyPostings · 90 days
Wise16
Barclays10
Airwallex9
Wolt8
Grab7
Deutsche Bank6
Circle6
NiCE6
Visa5
GoFundMe4

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for AML

NamePostingsShare
London186.8%
Singapore114.2%
Pune103.8%
New York City93.4%
Mumbai72.7%
Paris62.3%
Tallinn62.3%
Amsterdam51.9%
Bengaluru51.9%

Skills commonly paired with AML

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning AML by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AML postings by all AML postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
fcd91f8babb8fc63
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index