USAAHiring

Quantitative Risk Analyst (Mid-level) - AML Modeling

  • Remote, United States
  • Mid-level
  • Posted 9 days ago
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In one line

Mid-level quant role focused on anti-money laundering models at a big financial firm; four days a week in the office.

About the role

Developing and checking AML risk models, including transaction monitoring and customer risk scoring, and explaining the results to compliance, audit and business teams.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
SQL, Python, SAS, Model validation, Stress testing
Posted
20 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Use statistics to build, monitor and improve AML risk models
  • Assess emerging exposures and help keep them within the firm's risk appetite
  • Write analytical material for cross-functional teams and governance committees
  • Support stress testing and model validation work where needed

What they look for

  • Four or more years of quantitative risk work at a large financial institution
  • At least two years of hands-on AML experience, such as transaction monitoring or model development
  • Degree in economics, finance, statistics, maths, engineering or actuarial science, or equal experience
  • Clear communication of complex findings to technical and non-technical audiences
  • Familiarity with risk frameworks, model governance and AML rules

Nice to have

  • Experience with SQL, Python, SAS or R

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Claude

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Connector URL
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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a mid-level role. The posting asks for: four or more years of quantitative risk work at a large financial institution; at least two years of hands-on AML experience, such as transaction monitoring or model development; degree in economics, finance, statistics, maths, engineering or actuarial science, or equal experience. Skills it names include SQL, Python, SAS, Model validation.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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