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Aml Model Validation Jobs in Washington (NOW HIRING)

The Bison Group LLC

Data Scientist

Washington, DC

$130K - $160K/yr

... AML transaction data * Perform exploratory data analysis, feature engineering, and model validation using Python / Jupyter Notebook, PySpark, Pandas and R. * Demonstrate experience with SQL for ...

The Bison Group

Data Scientist

Washington, DC · On-site

... AML transaction data * Perform exploratory data analysis, feature engineering, and model validation using Python / Jupyter Notebook, PySpark, Pandas and R. * Demonstrate experience with SQL for ...

Td

Data Scientist - FCRM

Vienna, VA · On-site

$96K - $155K/yr

This position will be responsible for creating, developing, and maintaining a range of AML ... Hands-on experience developing, validating, and deploying machine learning models * Experience with ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

... Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

... AML) processes. Today these compliance processes are burdened by ever-increasing regulatory ... Validating models using standard and custom performance metrics. * Leveraging Large Language Models ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

... Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

... AML) processes. Today these compliance processes are burdened by ever-increasing regulatory ... Validating models using standard and custom performance metrics. * Leveraging Large Language Models ...

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Aml Model Validation information

What are the key skills and qualifications needed to thrive as an AML model validation analyst, and why are they important?

To excel in AML Model Validation, you typically need a strong background in quantitative analysis, statistics, and experience with anti-money laundering regulations, often supported by a degree in finance, mathematics, or a related field. Familiarity with statistical software (such as SAS, R, or Python), model validation frameworks, and knowledge of regulatory guidelines like those from the OCC or FFIEC are important. Strong analytical thinking, attention to detail, and clear communication skills set outstanding professionals apart in this role. These competencies are crucial for ensuring AML models are accurate, compliant, and effective in detecting suspicious financial activities.

What is AML model validation?

AML model validation is the process of evaluating and testing anti-money laundering (AML) models to ensure they are accurate, effective, and compliant with regulatory standards. This involves examining the model’s design, data inputs, performance metrics, and overall effectiveness in detecting suspicious activities. Regular validation helps to identify weaknesses, reduce false positives or negatives, and ensure that the model adapts to evolving risk scenarios. Financial institutions are required by regulators to validate their AML models regularly to mitigate risks and maintain robust compliance programs.

What are some common challenges faced by professionals in AML model validation roles, and how can they be addressed?

Professionals in AML Model Validation often encounter challenges such as ensuring models remain effective against evolving financial crime techniques and managing the complexity of regulatory expectations. They must regularly update and back-test models to address changes in transaction patterns and compliance requirements, which can be resource-intensive. Collaboration with data scientists, risk management teams, and compliance officers is crucial for interpreting results and implementing improvements. Staying current with regulatory guidance and industry best practices helps address these challenges and supports career advancement in this dynamic field.

What is the difference between Aml Model Validation vs Aml Analyst?

AspectAml Model ValidationAml Analyst
CertificationsAML certifications, model validation trainingAML certifications, compliance training
Work EnvironmentModel validation teams, risk management departmentsCompliance departments, financial institutions
Primary FocusValidating AML models, ensuring accuracy and effectivenessMonitoring transactions, investigating suspicious activities
Industry UsageFinancial institutions, banks, fintechsFinancial institutions, banks, regulatory agencies

While both roles operate within AML frameworks, Aml Model Validation focuses on testing and validating AML models to ensure they work effectively, whereas Aml Analysts handle daily transaction monitoring and investigations. The validation role emphasizes model accuracy and compliance, while analysts focus on detecting and reporting suspicious activities.

What are popular job titles related to Aml Model Validation jobs in Washington? For Aml Model Validation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Aml Model Validation jobs in Washington look for? The top searched job categories for Aml Model Validation jobs in Washington are:
What cities in Washington are hiring for Aml Model Validation jobs? Cities in Washington with the most Aml Model Validation job openings:
Aml Model Validation jobs near you

Data Scientist

The Bison Group LLC

Washington, DC

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 days ago

Job description

Description

Bison Group - Mission First. People Always.

At Bison Group LLC, we're more than a defense contractor - we're a people-focused small business with a strong culture built on trust, respect, and impact. We value every member of the team, foster open communication without the layers of a big corporation, and stand firmly behind our commitment to the veteran community through real, tangible action.

When you join Bison Group, you're not just filling a role - you're stepping into a mission-critical environment where your work directly supports national security objectives. Here, your skills are recognized, your growth is encouraged, and your contributions have a clear purpose.

  • 4~5 years of work experience as data scientist with strong knowledge of statistical modeling, machine learning experience using Python and R, hands-on experience with AWS cloud-native services (e.g., S3, RDS, OpenSearch, Lambda), and a working knowledge of Bank Secrecy Act (BSA) data.
    Practitioner should be able to:
  • Design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns (e.g., structuring, layering, smurfing) using BSA/AML transaction data
  • Perform exploratory data analysis, feature engineering, and model validation using Python / Jupyter Notebook, PySpark, Pandas and R.
  • Demonstrate experience with SQL for complex querying and analyze large-scale structured and unstructured datasets stored in AWS S3, PostgreSQL RDS, OpenSearch instance.
  • Collaborate closely with compliance analysts and investigators to translate regulatory and investigative requirements into data analyses and analytical models
  • Produce visualizations and written findings for both technical and non-technical stakeholders, as needed.
  •  Maintain documentation for data pipelines, model logic, and analytical findings in accordance with agency or organizational standards
  • Participate in peer code reviews and contribute to best practices for reproducible data science workflows

Requirements

  •  Experience using open source machine learning frameworks such as scikit-learn and tensor flow to answer business questions using proprietary data
  • Experience with statistical analysis and correlating disparate data
  • Experience with probabilistic modeling and/or predictive modeling Experience with performing data analysis using scripting languages such as python, R, MATLAB, and Spark
  • Experience implementing machine learning processes into production software applications
  • Experience using big data tools to answer business questions using proprietary data
  • Experience in building property graphs from multiple data sources to perform network analytics
  • Analyze large, noisy datasets and identify meaningful patterns that provide actionable results
  • Minimum Bachelor's degree in engineering, Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field 
  • Top Secret clearance 


The Bison Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, genetic information, or protected veteran status and will not be discriminated against on the basis of disability. If you'd like to view a copy of the company's affirmative action plan for protected veterans/individuals with disabilities or our policy statement, please email EEO@bisongroupusa.com. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail Accessibiity@bisongroupusa.com. This mailbox is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails sent for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

Disclaimer: This position offers a wage or salary range based on market data and internal pay policies. This range is a good-faith estimate and may vary depending on qualifications, experience, and other factors. We do not request or use prior compensation history in making employment decisions. Any voluntary disclosure of prior wage information may be considered to support a higher offer but will not be used to justify a lower offer.

The Bison Group offers benefit options including medical, dental, vision, life, disability insurance, and accrued PTO including vacation, sick leave and holidays.

The listed pay range serves as a general guideline rather than a guaranteed salary. Final compensation is determined by a variety of factors including, but not limited to, role-specific responsibilities; candidate qualifications such as education, skills, and mission-aligned experience; market data, business considerations, internal equity, and any applicable legal or bargaining agreements (if any).

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