Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

The Global Financial Crime (“GFC”) Executive I - Financial Intelligence Unit - Detection contributes to the direction and drives the development of enterprise-wide anti-money laundering automated detection function and operational risk practices consistent with applicable laws, rules, regulations and regulatory guidance. The GFC Executive I serves as a trusted advisor to the Chief Compliance and Operational Risk (“C&OR”) Officers of the Front Line Units (“FLU”) and Control Functions (“CF”) for the company and to the leaders of the FLUs and CFs directly.

Responsibilities Include:

• Provide oversight for the target state Event Processing (EP) and Transaction Monitoring processes and technology.
• Provides end-to-end oversight of target state EP model.  Model oversight includes determining model coverage, gap assessments, RAI status and regulatory change impacts. Other responsibilities include Model Performance Monitoring Issue Oversight, metrics and High-Risk Processes (HRPs).
• Coordinates with GFC Modeling Analytics; Model Risk Management; and Financial Crimes Technology on the development, enhancement and maintenance of target state EP model.
• Provide subject matter expertise and oversight in the development of FLU technology and processes related to the end-to-end target state EP environment.
• Provide subject matter expertise and oversight in the development of metrics and reporting to support the target state EP model and processes.
• Direct oversight of the project management of the SAM/EP/Model remediation efforts.

Managerial Responsibilities:
This will have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Breaks down barriers to create a more inclusive environment
• Manager of Process & Data: Challenges end-to-end process efficiency and effectiveness, champion data driven decision-making and removes obstacles to optimize operations.
• Enterprise Advocate & Communicator: Contributes to enterprise strategy and influence messaging to connect team contributions to business purpose, results, and success.
• Risk Manager: Inspects and challenges risk controls, governance and culture to ensure the timely identification, escalation, debate and remediation of risk across the organization.
• People Manager & Coach: Coaches to sustain and elevates organizational performance while differentiating to ensure pay for performance.
• Financial Steward: Efficiently allocates and manages resources across the organization to drive short and long term profitability.
• Enterprise Talent Leader: Inspects and manages the health of the bench to ensure succession for the organization, while supporting enterprise talent needs.
• Driver of Business Outcomes: Mobilizes organizational resources to deliver the full range of the bank’s capabilities to meet client needs and to gain competitive advantage.

Required Subject Matter Expertise and Skills:

• 10+ years of experience in financial services industry or experience in a related field.
• Critical thinker with expertise in leveraging data to optimize decision-making.
• Expertise in risk modeling, compliance, risk management and/or regulatory issues.
• Track record of engaging and influencing senior executives.
• Demonstrated ability to overcome obstacles and resistance to drive change.
• Effectively package and communicate complex content and information.
• Systems-thinking and process thinking ability / Operational Excellence mindset.
• Intellectual curiosity; seeks and leverages data effectively.
• Organizational skills and attention to detail.
• Strong written and verbal communication skills; ability to interact with validation partners (audit, MRM, and Regulators)
• Expertise in data warehousing, machine learning, and big data technologies
• Strong understanding and experience in designing and development in financial crimes solutions and data infrastructure
• Experience with and strong programming skills in Python, SAS or SQL
• Strong understanding of BSA/AML regulatory requirements and how to solve for them with technology

Skills:

• Change Management
• Decision Making
• External Resource Management
• Regulatory Compliance
• Strategy Planning and Development
• Issue Management
• Policies, Procedures, and Guidelines Management
• Risk Management
• Talent Development
• Written Communications
• Coaching
• Fraud Management
• Inclusive Leadership
• Investigation Management

Preferred Technical Skills:

• Risk Identification & Assessment
• Issues Management & Resolution
• Line of Business (LoB) Products, Services & Acumen
• Financial Crimes Risk Programs
• Credible Challenge
• Regulatory Knowledge
• High Risk Activities & Typologies
• Data Analysis, Interpretation & Decisioning
• Risk Control & Mitigation
• Financial Crimes Compliance Risk Principles

Preferred Leadership Behaviors:

• Demonstrates Sound Decision Making​
• Manages Risk​
• Drives customer-focused results​
• Leads with process discipline and operational excellence​
• Optimizes talent potential​
• Communicates and influences impactfully ​
• Leads with an enterprise mindset and values​
• Creates and drives strategy
• Demonstrates intellectual capacity and learning agility​
• Manages and scales capacity​​

Preferred Qualifications:

• Bachelor’s degree in engineering, Data Science, Data Management, or Technology
• Or a master’s degree in engineering, Data Science, Data Management, or Technology

Shift:

Hours Per Week: 

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