Data Scientist II, Anti Money Laundering Transaction Monitoring
BMO Financial Group · Chicago, IL
$69,000–$127,800from the description
Jul 23, 2026
Chicago, IL
Jul 24, 2026
What this job asks for AI summary
A data science role focused on building and maintaining machine learning models that detect money laundering within a bank's transaction monitoring program. Day-to-day work spans the full model lifecycle — data preparation, feature engineering, model development and tuning, performance assessment, and governance documentation — in close collaboration with compliance, financial intelligence, and technology teams. Best suited to someone with a quantitative background and hands-on experience in Python, SQL, and applied ML.
Mid level · 4+ years · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The job title carries no seniority level word; the title states no level. The stated experience range of 4–6 years with a post-secondary degree (or equivalent) maps to a Mid-level role.
The degree requirement is None: the posting explicitly accepts 'an equivalent combination of education and experience' in lieu of a formal degree. The preferred advanced degree (Statistics, Mathematics, Data Science, etc.) is aspirational, not a hard gate.
Version control is listed in the required section as 'e.g., Git, GitHub, Azure DevOps' — these are interchangeable options for the same requirement; Git is used as the primary name with the others as alternatives.
Generative AI / LLM-based coding assistants (Microsoft 365 Copilot, GitHub Copilot) appear in the required section but are framed with 'familiarity with' — a softer qualifier — so they are treated as preferred. Microsoft 365 Copilot and GitHub Copilot are listed as alternatives for the same requirement.
AML domain knowledge, anomaly detection, graph analytics, network analysis, model governance experience, and experience with AML-specific datasets all appear under the explicit 'Preferred' heading and are therefore preferred, not required. These are domain/methodology skills rather than named tools and are omitted per the no-generic-concepts rule.
The location is not specified in the posting. BMO Financial Group is a Canadian bank but this posting references US-specific legal language (federal, state, and local law; US benefits URL), so the US-based flag is set to true. No CBSA can be determined.
The alternative occupation code 15-2031 (Operations Research Analysts) is noted as a runner-up given the strong emphasis on model performance measurement, risk analytics, and decision-support modeling alongside the ML/statistics work.
Read the full posting
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