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Financial Crimes Jobs in Spring, TX (NOW HIRING)

Overview Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and ...

Cryptocurrency Investigator

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Demonstrate a deep understanding of criminal activity, such as general and complex financial crimes, civil and criminal forfeitures, domestic and transnational organized crime, white collar crime ...

DA Investigator II

Conroe, TX · On-site

$45.20 - $46/hr

Minimum 5 years Law Enforcement with Financial Crimes Investigative experience * TCOLE Certification - Master Certificate Preferred * Certified Fraud Examiner - preferred * Possess good verbal and ...

... financial crimes and integrity risks to physical and information security risks. Support consultancy assignments in scoping, delivery, and reporting and further support the team by using systems to ...

Financial Analyst A confidential, growing industrial services company is seeking a Financial ... An employer who violates this law shall be subject to criminal penalties and civil liability.

Virtual Financial Advisor - Houston

Houston, TX · On-site

$23.80 - $26.45/hr

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  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Satisfactory background check (criminal and financial). Compensation and Benefits You'll get all the benefits of a Fortune 500 organization and more. Here, you'll enjoy: * A base pay of $23.80-$26.45 ...

Position Description The Financial Coordinator is responsible for coordinating and supporting the ... a criminal history check. Only relevant convictions will be considered and, even when considered ...

Position Description The Financial Coordinator is responsible for coordinating and supporting the ... a criminal history check. Only relevant convictions will be considered and, even when considered ...

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Financial Crimes information

What are financial crimes?

Financial crimes are illegal acts committed by individuals or organizations to obtain a financial or professional advantage. These crimes include activities such as fraud, money laundering, embezzlement, insider trading, and tax evasion. Financial crimes can harm individuals, businesses, and economies by undermining trust in financial systems and causing significant financial losses. Preventing and detecting these crimes is a major focus for financial institutions, law enforcement, and regulatory bodies.

What are some common challenges faced by professionals in financial crimes roles, and how can they be addressed?

Professionals working in Financial Crimes often encounter challenges such as staying updated with rapidly evolving regulations, identifying sophisticated fraud schemes, and managing large volumes of data. Addressing these challenges requires continuous learning, close collaboration with compliance and IT teams, and leveraging advanced analytical tools. Building strong communication skills and maintaining attention to detail are also key to effectively investigating suspicious activities and ensuring regulatory compliance.

What are the key skills and qualifications needed to thrive in financial crimes?

To thrive in Financial Crimes, you need strong analytical skills, attention to detail, and a background in finance, accounting, or criminal justice, often supported by certifications like CAMS or CFE. Familiarity with financial crime detection tools, transaction monitoring systems, and regulatory compliance software is typically required. Excellent problem-solving abilities, ethical judgment, and effective communication are valuable soft skills for this role. These skills and qualities are essential for accurately identifying suspicious activities, ensuring regulatory compliance, and protecting organizations from financial risk.

What is the difference between Financial Crimes vs Fraud Analyst?

AspectFinancial CrimesFraud Analyst
CertificationsACAMS, CFEACAMS, CFE
Work EnvironmentFinancial institutions, banks, law enforcementFinancial institutions, banks, insurance companies
Industry UsageDetecting and preventing financial crimes like money laundering and terrorist financingIdentifying and investigating fraudulent activities and transactions

Financial Crimes professionals focus on detecting and preventing a broad range of illegal financial activities, including money laundering and terrorist financing. Fraud Analysts primarily investigate specific fraudulent transactions or schemes. While both roles require similar certifications and often work within financial institutions, their core responsibilities differ in scope and focus.

What are the most commonly searched types of Financial Crimes jobs in Spring, TX?

The most popular types of Financial Crimes jobs in Spring, TX are:

What are popular job titles related to Financial Crimes jobs in Spring, TX?

For Financial Crimes jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Financial Crimes jobs in Spring, TX look for?

The top searched job categories for Financial Crimes jobs in Spring, TX are:

What cities near Spring, TX are hiring for Financial Crimes jobs?

Cities near Spring, TX with the most Financial Crimes job openings:

Infographic showing various Financial Crimes job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Financial Crimes Data Scientist

East West Bank

Houston, TX • On-site

$100 - $200/hr

Other

Posted 11 days ago


East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

117th of 171 rated banks


Job description

Overview

Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance across financial crime risk programs.

Responsibilities

A Financial Crimes Data Scientist develops, validates, and deploys advanced analytics and machine learning solutions to detect, prevent, and investigate financial crimes, including money laundering, fraud, sanctions violations, and terrorist financing.

Key Responsibilities
  • Design, build, validate, and deploy in-house detection models for AML, fraud, and other financial crime risks.
  • Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal and external data sources.
  • Create and optimize transaction monitoring scenarios and machine learning-driven alert generation frameworks.
  • Implement model deployment pipelines and production monitoring to ensure effectiveness and regulatory compliance.
  • Conduct feature engineering, model tuning, and performance assessment to improve precision, recall, and operational efficiency.
  • Partner with Compliance, BSA/AML, Fraud, Investigations, and Technology teams to translate emerging risks into scalable detection strategies.
  • Reduce false positives while increasing the identification of high-risk activity and suspicious behavior.
  • Support model governance, validation, documentation, and regulatory examinations.
  • Perform other duties as assigned.
Core Expertise
  • Financial Crime Risk Management
  • AML/BSA Compliance
  • Fraud Analytics
  • Machine Learning & AI
  • Graph and Network Analytics
  • Entity Resolution
  • Transaction Monitoring
  • Model Development & Deployment
  • Python, SQL, Spark, Databricks
  • Cloud Analytics Platforms (Azure/AWS)
Qualifications
  • Programming Skills – knowledge of statistical programming languages like R,Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, behavior clustering, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
  • Experience with Data Visualization Tools like Tableau and Power BI that help to visually encode data
  • Network/Link Analytics
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Compensation

The base pay range for this position is USD $100,000.00/Yr. - USD $200,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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