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Bank Of America Quantitative Finance Manager United States, North Carolina, Charlotte 451395656
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Responsibilities:
Leads a quantitative team with model coverage of specified focus areas and oversees stakeholder engagement, including team effort in preparation for audit and regulatory exams
Sets priorities related to quantitative modeling in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
The position will be responsible for:
• Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
• Conducting governance activities such as model identification, model approval and breach remediation reviews.
• Providing hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.
• Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; communicating and interacting with the third line of defense (e.g., internal audit) as well as external regulators, as needed.
• Writing technical reports for distribution and presentation to model developers, senior management, audit and banking regulators.
• Acts as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering and actively participates in senior level committees; provides guidance to junior team members
Master’s degree in related field or equivalent work experience
• PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Engineering, Computer Science, Statistics.
• Advanced knowledge and 7+ years of experience in building and understanding of Anti-Money Laundering models and systems
• Strong familiarity with the industry practices in the field and knowledge of up-to-date Anti Money Laundering techniques
• CAMS certification (preferred)
• Fluency in Python, SAS and SQL
• Excellent written and oral communication skills with stakeholders of varying analytic skill and knowledge levels.
Skills:
Business Acumen
Critical Thinking
Regulatory Relations
Talent Development
Technical Documentation
Policies, Procedures, and Guidelines Management
Project Management
Risk Analytics
Risk Management
Stakeholder Management
Drives Engagement
Inclusive Leadership
Risk Modeling
Strategic Thinking
Written Communications
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