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Aml Model Validation Jobs in Delaware (NOW HIRING)

... ML models and LLMs for credit scoring, AML, and automation • Implement RAG-based GenAI applications using internal banking data • Develop scalable data pipelines for training, validation, and ...

Data Scientist III - FCRM

Wilmington, DE · On-site

$96K - $155K/yr

... models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions. * AML, Financial ... Strong data validation, reconciliation, testing, documentation, and analytical problem-solving ...

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 ...

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 Delaware? For Aml Model Validation jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Aml Model Validation jobs? Cities in Delaware with the most Aml Model Validation job openings:

Quantitative Analytics & Model Consultant Senior - Data, Modeling & Analytics

PNC Bank

Wilmington, DE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

92nd of 170 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Quantitative Analytics & Model Consultant Senior within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA; Philadelphia, PA; Cleveland, OH; Charlotte, NC; Wilmington, DE; Austin, TX; Washington, DC; or Tysons Corner, VA.
Summary:
As a Quantitative Analytics & Model Consultant Senior within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.
Job Responsibilities:
Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders
Preferred skills and experience:
Master's degree or higher in a quantitative field
Experience in developing GenAI solutions
Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing
Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
Strong programming skills in Python, PySpark, R, and/or SQL
Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.
Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
Ability to manage multiple projects simultaneously
Strong teamwork skills and ability to work across different departments
Additional preferred qualifications:
Master's degree in Statistics, Mathematics, Engineering or Econometrics
Experience in banking/ financial services
Experience with anti-fraud and/or anti-money laundering modeling
Hands-on experience building various types of AI/ML models, including neural networks
Experience with cloud platforms like AWS, Google Cloud, or AzurePNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Independently performs the most complex quantitative analyses and models development to support decision-making by running quantitative strategies.
  • Develops new model frameworks by supporting the line of business. Refines, monitors, and validates existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models.
  • Performs the most complex qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Reviews reports and associated quantitative analysis. Validates existing models and assesses model risks.
  • Evaluates identified model risks and reaches conclusions on strengths and limitations of the model.
  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $112,000.00 - $249,600.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/28/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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