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Financial Crime Risk Analyst Jobs in Spring, TX (NOW HIRING)

Financial Crime Review Analyst

Houston, TX · On-site

$18.75 - $35.75/hr

The Financial Crime Review Analyst is responsible for performing transaction activity reviews ... Conducting periodic holistic reviews of higher risk individuals or entities. * Reviewing and ...

Aramco Trading Americas Market Risk Analyst (1935) Market Risk Staff - Houston, TX. - Full Time ... Bachelor's degree in finance, economics, mathematics, engineering or a related field. * Proficiency ...

This member of the FP&A team will not only play a key role in identifying and quantifying financial risk, but they will also have regular interaction with executive leaders as the role (Sr. Analyst ...

This member of the FP&A team will not only play a key role in identifying and quantifying financial risk, but they will also have regular interaction with executive leaders as the role (Sr. Analyst ...

Market Risk Analyst

Houston, TX · On-site

$125K - $152K/yr

Bachelor's degree in Finance, Accounting, Economics, or a related field * 2 or more years of ... or scenario analyses, and identify trends in portfolio risk and P&L * Must be willing and able ...

The role will partner closely with trading, structuring, origination, middle office, risk, technology, and finance to deliver decision-quality analytics, robust model governance, and scalable ...

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Financial Crime Risk Analyst information

See Spring, TX salary details

$34.3K

$78.4K

$105K

How much do financial crime risk analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for financial crime risk analyst in Spring, TX is $78,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $98,300.00 per year, depending on experience, location, and employer.

How does a financial crime risk analyst typically collaborate with other departments within a financial institution?

Financial Crime Risk Analysts work closely with departments such as compliance, legal, operations, and IT to effectively identify and mitigate risks related to money laundering, fraud, and other illicit activities. They often provide recommendations based on their analyses and help implement controls and monitoring systems. Regular communication and cross-functional teamwork are essential, as analysts need to ensure that all parts of the organization adhere to regulatory requirements and internal policies. This collaborative environment supports a proactive approach to risk management and helps foster a culture of compliance across the organization.

What are the key skills and qualifications needed to thrive as a financial crime risk analyst, and why are they important?

To thrive as a Financial Crime Risk Analyst, you need strong analytical skills, knowledge of anti-money laundering (AML) regulations, and a background in finance or compliance, often supported by relevant certifications like CAMS. Familiarity with transaction monitoring systems, data analysis tools, and compliance software is typically required. Keen attention to detail, critical thinking, and effective communication help analysts identify suspicious activities and work with cross-functional teams. These skills are crucial to protecting organizations from financial crimes and ensuring regulatory compliance.

What is the difference between Financial Crime Risk Analyst vs Compliance Analyst?

AspectFinancial Crime Risk AnalystCompliance Analyst
CertificationsACAMS, CAMS, CRCMCAMS, CRCM, CCEP
Work EnvironmentFinancial institutions, banks, fintechsFinancial institutions, corporations, regulatory agencies
Industry UsageFocus on anti-money laundering, fraud detectionFocus on regulatory compliance, policies

Financial Crime Risk Analysts primarily focus on detecting and preventing financial crimes like money laundering and fraud, often working within banks and financial institutions. Compliance Analysts ensure organizations adhere to legal and regulatory standards, covering broader compliance areas. While both roles require similar certifications and work in related environments, their core responsibilities differ, with Financial Crime Risk Analysts specializing in financial crime prevention and Compliance Analysts focusing on regulatory adherence.

How do you become a financial crime risk analyst?

To become a financial crime risk analyst, candidates typically need a bachelor's degree in finance, accounting, or a related field. Relevant skills include knowledge of anti-money laundering (AML) regulations, risk assessment, and proficiency with data analysis tools; certifications like CAMS or CRCM can enhance job prospects.

Is a financial crime risk analyst a good career?

A financial crime risk analyst is a valuable role within financial institutions, focusing on detecting and preventing fraud, money laundering, and other financial crimes. The job typically requires strong analytical skills, knowledge of compliance regulations, and proficiency with tools like transaction monitoring systems. It offers opportunities for career growth and specialization in a growing field.

What does a financial crime risk analyst do?

A financial crime risk analyst evaluates and monitors financial transactions to detect and prevent illegal activities such as money laundering, fraud, and terrorist financing. They analyze data using specialized tools, assess risks, and ensure compliance with regulations, often working with compliance teams and maintaining detailed reports.

What are popular job titles related to Financial Crime Risk Analyst jobs in Spring, TX?

For Financial Crime Risk Analyst jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Financial Crime Risk Analyst jobs in Spring, TX look for?

The top searched job categories for Financial Crime Risk Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Financial Crime Risk Analyst jobs?

Cities near Spring, TX with the most Financial Crime Risk Analyst job openings:

Financial Crimes Data Scientist

East West Bank

Houston, TX • On-site

$100 - $200/hr

Other

Posted 17 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

116th 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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