Senior Manager, AML Model Management
Senior Manager, AML Model Management
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Salary Not Disclosed
1 Vacancy
Job Description
The role:
The AML Analytics Senior Manager Model Management will lead the Model Management team within the AntiMoney Laundering (AML) Analytics program. This role is responsible for the full lifecycle of AML models including development implementation optimization and validation. The manager will also oversee vendor integrations ensure model governance and provide comprehensive reporting to oversight bodies. This role will also support AML governance initiatives including risk assessments and internal/external inquiries.
What youll do:
- Lead and manage the Model Management team including performance management mentorship and resource allocation.
- Oversee the development implementation and maintenance of AML models across multiple product lines (banking brokerage lending) to ensure robust risk coverage.
- Manage and optimize AML applications to ensure conceptually sound design proper implementation and acceptable performance.
- Act as a key point of contact for Model Risk Management matters collaborating with internal stakeholders (e.g. Compliance Technology Business Units) and external partners (e.g. vendors regulators).
- Partner with technical teams (developers program managers data analysts) to deliver AML technology transformation initiatives related to models and systems.
- Communicate complex modelrelated information to both technical and nontechnical audiences in a clear and concise manner.
- Oversee the research compilation and evaluation of large datasets for AML threat detection and model building.
- Direct the building and refinement of experimental models using machine learning and statistical modeling methods (supervised and unsupervised learning).
- Present model performance reports and key metrics to senior management and relevant committees
- Identify and implement process improvements within the Model Management function to enhance efficiency and effectiveness.
What youll need:
- Bachelors Degree or Masters Degree in Statistics Computer Science Mathematics Finance Computer Science Engineering or other relevant areas.
- 10 years of experience in the finance industry focusing on BSA/AML OFAC or fraud modeling/analytics.
- Strong statistical/data analytical skills including data quality validation and predictive modeling experience in SQL R and/or Python.
- Knowledge of and ability to leverage traditional databases cloudbased computing and distributed computing.
- Experience supporting and managing AML governancerelated responsibilities including risk assessments internal/external audits and other regulatory requirements.
- Demonstrated ability to communicate effectively with all levels of the organization and across different business lines.
- Indepth knowledge of AML regulations and the USA PATRIOT Act.
- Familiarity with regulatory guidance on Model Risk Management (Federal Reserve SR Letter 117 OCC Bulletin 201112 FDIC FIL 222017 DFS504).
- Experience with data visualization (e.g. Tableau) and data monitoring systems (e.g. DataDog Monte Carlo).
- Experience with cloud data infrastructure (e.g. Snowflake) automated transaction monitoring (e.g. Verafin) and customer/transaction screening (e.g. LexisNexis).
- Experience with infrastructure automation software (e.g. Terraform) and familiarity with virtualization and containerization (e.g. Docker Kubernetes).
- CAMS certification preferred.
Required Experience:
Senior Manager
Employment Type
Full Time
