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Quantitative Model Analyst Aml Jobs (NOW HIRING)

Amicis Global

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

The Data Scientist / Data Modeler / Quantitative Analyst will play a critical role in advancing the ... AML, Cybersecurity, UEBA, or Threat Analytics programs. 8) Familiarity with identity and access ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Quantitative Analyst, Northbrook, IL - The Quantitative Analyst will assist in the research, design, development, and optimization of proprietary in-house trading models. - Quantitative model ...

US Bank

Quantitative Modeler Manager - AML

Charlotte, NC · On-site

$53.50 - $69.25/hr

Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

U.S. Bank

Quantitative Modeler Manager - AML

Charlotte, NC · On-site

$53.50 - $69.25/hr

Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

US Bank

Quantitative Modeler Manager - AML

Columbus, OH · On-site

$53 - $68.50/hr

Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

US Bank

Quantitative Modeler Manager - AML

Knoxville, TN · On-site

$52.25 - $67.75/hr

Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

Us Bank

Quantitative Modeler Manager - AML

Charlotte, NC · On-site

$53.50 - $69.25/hr

Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as ... PhD in a quantitative field, and five or more years of related experience. Preferred Skills ...

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Quantitative Model Analyst Aml information

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How much do quantitative model analyst aml jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative model analyst aml in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Quantitative Model Analyst Aml jobs?

For Quantitative Model Analyst Aml jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Model Analyst Aml job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Financial Crimes Model Analyst

Sioux Falls, SD • On-site

Stride Bank Na
See more jobs at Stride Bank Naexternal

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Re-posted 7 days ago

Job description

Job Details

Job Location: SLC - Salt Lake City, UT 84111

Position Type: Full Time

Education Level: 4 Year Degree

Travel Percentage: Negligible

Job Shift: Day

Job Category: Banking

The Financial Crimes Model Analyst plays a critical role in designing, validating, and optimizing analytical models that support financial crime prevention, including fraud, AML/KYC, and sanctions monitoring. This role leverages modern data-agnostic, low/no-code analytical platforms and machine-learning tooling to operationalize robust detection logic, integrate LLM/SLM outputs responsibly, and ensure alignment with Model Risk Management (MRM) standards.

PRINCIPAL DUTIES AND RESPONSIBILITIES
  • Designs, validates, and enhances financial crime detection models across fraud, AML/KYC screening, and related domains.
  • Applies statistical techniques to evaluate and calibrate LLM/SLM outputs when used in decision-support workflows.
  • Conducts ablation studies, back testing, and reproducible experiments to ensure model stability and business impact.
  • Optimizes model and pipeline efficiency, including latency, throughput, and computational performance.
  • Develops, tracks, and interprets performance metrics.
  • Implements monitoring for drift, bias, degradation, and shifts.
  • Produces audit-ready MRM documentation, including validation plans, governance artifacts, explainability notes, and calibration reports.
  • Maintains model health dashboards and reporting for executives, governance bodies, and oversight functions.
  • Partners with internal and external data engineers and vendor partners to maintain reliable inputs and production workflows.
  • Develops SQL and Python assets for exploration, experimentation, reporting, and automated artifact generation.
  • Maintains clear and comprehensive documentation, including data dictionaries, model cards, decision logic, and workflow diagrams.
  • Works cross-functionally with engineering, product, compliance, risk, and vendor teams to deploy and maintain models.
  • Translates complex analytical concepts into accessible insights for varied technical and business audiences.

Non-Essential Functions: Performs other duties as assigned.

QualificationsEDUCATION AND/OR EXPERIENCE
  • Bachelor’s degree in Statistics, Econometrics, Data Science, Mathematics, Computer Science, or a related quantitative field, required; Master’s degree, preferred.
  • 3-5 years’ experience in model development, evaluation, monitoring, risk governance, or model lifecycle management supporting BSA/AML compliance, fraud and/or case investigation, or experience in quality assurance/control or internal audit, required.
  • Hands-on expertise in SQL and Python for analysis and rapid prototyping, required.
  • Familiarity with modern modeling techniques, or similar low/no-code platforms, and the responsible use of LLM/SLM capabilities, required.
  • Experience producing governance-grade validation or audit documentation, required.
  • Exposure to financial crime domains (AML, KYC, fraud), preferred.
  • CAMS and/or CAFP certifications, preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
  • Strong understanding of supervised/unsupervised ML evaluation, calibration, drift detection, and explainability methods.
  • Knowledge of data quality domains and data lineage principles.
  • Familiarity with AI model governance concepts, including MRM standards and regulatory expectations.
  • Ability to develop and maintain dashboards and report for model health and risk indicators.
  • Knowledge of regulatory environment(s) and emerging BSA/AML and fraud trends.
  • Strong investigative, written, and oral communication skills.
  • Thorough and detail-oriented.
  • Strong commitment to ethics, and the ability to understand a variety of issues and perspectives.
  • Understanding of the banking industry, including bank partnerships with fintech companies.
  • Multitasks effectively and takes action promptly, both independently and in a team environment.
  • Handles highly confidential information with appropriate discretion, and works well in a high volume, fast paced environment.
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