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Bank Of America Data Science & Analytics AML Operations High Risk Detection Group United States, North Carolina, Charlotte 967522321
Manages a major operations segment or multiple operations units of a similar nature for a site, regions or product line to support compliance within the company's functional operations area . Functions managed are typically complex, directed by internal bank policies and require adherence to regulatory and compliance requirements which can involve high $ penalties and fines for non-compliance. Executes against regulatory, BSA/anti-money laundering, and economic sanctions compliance practices relevant to the manager's area of responsibility. Develops a positive and trusting relationship with key business leaders. As guided by executive leadership, develops and maintains relationships with counterparts in other financial institutions, associations and regulatory officials ensuring proper communication of compliance of company and regulatory policies relevant to the manager's specific area of responsibility. Supports accountability for compliance elements of the Risk Framework, maintaining appropriate oversight of operations and vendor performance. Maintains the culture of compliance and supports the identification, escalation and timely mitigation of compliance risks. Applies knowledge and expertise to influence business managers and peers to ensure enforcement of compliance programs, balancing operational strategy within area of responsibility. May lead/coach projects or be involved in a variety of larger LOB projects. Responsible for budget/expense management, reporting and forecasting for Ares managed. Awareness of Six Sigma/Lean practices and change management preferred. Directly manages 4-8 employees that are typically subordinate supervisors or exempt specialists. Scope of management typically has 8-250 associates that may cover multiple shift/sites. Bachelor's degree or 8-10 years of Operations/compliance experience preferred, including 3-6 years supervisory experience.
Skills:
- Customer and Client Focus
- Interpret Relevant Laws, Rules, and Regulations
- Investigation Management
- Oral Communications
- Quality Assurance
- Decision Making
- Drives Engagement
- Influence
- Performance Management
- Relationship Building
- Analytical Thinking
- Collaboration
- Critical Thinking
- Innovative Thinking
- Problem Solving
Line of Business Description:
The High-Risk Detection Group is part of AML Operations supporting Global Banking (GB), Global Markets (GM), Consumer & Small Businesses LOBs with responsibility to detect high risk within the business scope through ongoing monitoring and due diligence. This is managed through 4 Functional teams: AML Screening, Periodic Transaction Monitoring, Enhanced Client Diligence and Sanctions Monitoring
Key Responsibilities
- Primary responsibility is to create / update business rules to minimize the false-positive Screening alerts to improve efficiency and effectives of the alert review process.
- Primary responsibility is to develop advanced machine learning models for AML risk detection, including models specifically tailored for minimizing false positives in the alert review process
- Manage the multiple on-going initiatives by attending calls from various projects, understand the Screening needs from the cross-LOB projects, provide requirements to the projects and track the status of these projects.
- Collaborate with cross-LOB teams to integrate data science solutions into existing AML systems
- Analyze large datasets to identify patterns and trends associated with high risk activities
- Assist in on-boarding new applications / Clients into the Screening platform requiring detailed discussions with various lines of businesses in understanding the nature and type of data received from and assist in data mapping into standard formats acceptable for Sanctions screening.
- Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
- Work with technology teams for requirements / testing and implementing changes to improve / automate processes and stay abreast of industry trends and emerging technologies
- Create detailed visualizations for use both by users and leaders for data analytics
:
- Master’s or Bachelor’s degree in computer science, Data Science, Data Management, Statistics or related fields
- Proven experience in developing and implementing machine learning models (both supervised and unsupervised learning) for financial risk detection
- Awareness of AI / Machine learning concepts and ability to implement such strategies.
- Good experience in Data Analytics and interpretation of large volumes of Data
- ScriptingProgramming experience with any language like Python, R, Java, VB
:
- Preferred experience in Screening / AML processes
- Advanced knowledge in SQL and using tools like TOAD.
- Has good data transformation / formatting experience and be able to work with data in different formats.
- Good logical thinking capabilities with a technical mind-set
- Advanced knowledge in using Microsoft Excel and MS Access
- Good Knowledge in using Microsoft products Word, Outlook, PowerPoint and Visio.
- Team player attitude, enthusiasm, and commitment
- Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently.
- Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change.
- Ability to work and interact with people from a diverse range of backgrounds and opinions.
- Knowledge of Screening programs requirements
- Experience in Global Banking & Markets business process is a plus
- Experience in screening applications like Fircosoft
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