Job Description
**Job Description**
**Job Summary:**
This lead validator position will lead model validation related responsibilities in the independent validation of BSA/AML models, including (but not limited to) Transaction Monitoring, Customer Risk Scoring, and OFAC/Sanctions Screening systems, as well as fraud models.
*Location for this position is in St Petersburg, FL, New York City or Pittsburgh, PA.
** Will not be able to provide visa sponsorship.
**Essential Duties and Responsibilities:**
+ Own, develop and manage working relationship with BSA/AML and fraud model stakeholders
+ Monitor and keep abreast of changes in AML and fraud related regulations and MRM policies.
+ Develop validation plans for BSA/AML and fraud-related models.
+ Lead, perform and review model validations for BSA/AML and fraud-related models, including model policies and procedures, conceptual soundness, assumptions/limitation, output analysis and ongoing monitoring metrics.
+ Complete model validations per validation plan.
+ Maintain organized tracking of validation findings, issues, and remediations.
+ Perform BSA/AML and fraud related model ongoing monitoring, annual review and other model independent review tasks.
+ Manage junior validators
**Knowledge, Skills, and Abilities:**
Knowledge of:
+ BSA/AML and fraud models, regulatory requirements, including the Bank Secrecy Act, US PATRIOT Act, and OFAC.
+ Model Risk Management regulatory guidance SR 11-7 and OCC 2011/12.
+ Statistics and other quantitative fields and data validation principles.
+ The role of models in financial crime detection and prevention.
Skill in:
+ Microsoft Excel and Word for documentation, data analysis, and reporting.
+ Clear written and verbal communication, especially in organizing findings and writing summaries.
+ Analytical thinking, attention to detail, and structured problem-solving.
+ Using data analysis programs such as SQL, R, or Python for data validation and analysis.
Ability to:
+ Understand how BSA/AML and fraud models operate and produce outputs.
+ Learn regulatory expectations and apply them to model validation work.
+ Collaborate with cross-functional teams in Financial Crimes, Risk, Compliance.
+ Follow structured validation procedures and meet project deadlines.
+ Document findings in a clear, professional language.
**Educational/Previous Experience Requirements:**
+ Bachelor's degree in Finance, Economics, Mathematics, Data Science, Computer Science, or a related field.
+ 5-10 years of professional experience in AML and Fraud model development and model validation, or work experience related to financial crime, data analysis, compliance
+ Proficient and strong understanding of risk management, data analytics, audit, or related field.
+ professional development, including certifications such as CAMS is encouraged.
**Education**
Bachelor's: Accounting, Bachelor's: Actuarial Science, Bachelor's: Applied Mathematics
**Work Experience**
General Experience - 10 to 15 years
**Certifications**
Other Certification Not Listed - Other
**Travel**
Less than 25%
**Workstyle**
Hybrid
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
Job Tags
Work experience placement,
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