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Computer Crime Detective Jobs (NOW HIRING)

Stride Bank Na

Financial Crimes Model Analyst

Tulsa, OK · On-site

Designs, validates, and enhances financial crime detection models across fraud, AML/KYC screening ... Bachelor's degree in Statistics, Econometrics, Data Science, Mathematics, Computer Science, or a ...

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City of Stockbridge

Detective

Stockbridge, GA · On-site

Investigates reports of crimes in progress, reports of recently discovered crimes, and incident ... Knowledge of computer capabilities for obtaining optimal results from available applications.

Career Search

Detective

Stockbridge, GA

Investigates reports of crimes in progress, reports of recently discovered crimes, and incident ... Knowledge of computer capabilities for obtaining optimal results from available applications.

Town of Pagosa Springs

Detective

Pagosa Springs, CO · On-site

$74K - $89K/yr

Essential Duties Acts as lead investigator and evidentiary supervisor at crime scenes; conducts ... computer and various programs, such as Microsoft Word, Excel and Outlook, specialized law ...

metrocu

Financial Crimes Specialist

Chelsea, MA · On-site

This role is at the frontline of protecting our members from fraud and financial crime, directly ... Proficiency with computer systems and ability to navigate fraud detection tools and platforms

Kent County

Crime Scene Unit Team Leader

Grand Rapids, MI · On-site

$49.66/hr

This position maintains a direct reporting line to the Detective Lieutenant in Charge of the Crime ... Computer Skills: Proficiency in Excel, databases, graphics, CAD, digital photography software, and ...

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Computer Crime Detective information

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$29K

$61.9K

$98.5K

How much do computer crime detective jobs pay per year?

As of Sep 11, 2026, the average yearly pay for computer crime detective in the United States is $61,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $71,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Computer Crime Detective jobs?

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Infographic showing various Computer Crime Detective job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $61,905 per year, or $29.8 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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