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Senior Manager, Advanced Analytics and AI
2 months ago
About the Role:
We are seeking a highly experienced leader to join our team at TD as the Assistant Vice President, Financial Crimes Risk Management, AI & Advanced Analytics Management. This role will support the continuous enhancements of FCRM-owned models, including Transaction Monitoring and Customer Risk Rating models, by exploring and introducing advanced analytics and technologies, including machine learning and artificial intelligence.
Key Responsibilities:
- Investigate, develop, and facilitate the adoption of advanced analytics, AI, machine learning, NLP, and various modeling tooling and solutions to support model and data management for FCRM.
- Manage advances in AI and machine learning within data and model management to increase the effectiveness of models and create efficiencies.
- Drive risk-based decisioning and modeling innovations using advanced AI and machine learning solutions.
- Provide people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork, and handling any disciplinary actions as required.
- Maintain a robust understanding of industry insights and foresights to deliver AI/Machine Learning capability across modeling and data teams.
- Ensure adherence to the Bank's risk culture.
Shared Responsibilities:
- Collaborate and support the AVP, Model Management and AVP, Data Governance on the optimal implementation of advanced solutions while adhering to key regulatory expectations.
- Collaborate with Enterprise Data and Analytics and Layer 6 teams regarding trends and developments in data science, artificial intelligence, and machine learning.
- As a key member of the leadership team, collaborate with business partners to find appropriate solutions to risk measurement and assessment challenges to ensure an appropriate balance between complexity of models and a transparent link between risk drivers and outputs.
Requirements:
- Subject Matter Expert in data, machine learning, and artificial intelligence.
- Clear, concise communicator - able to explain complex concepts to diverse stakeholders and educate on technical ideas and methodologies to groups and individuals with and without technical expertise in these areas.
- Ability to drive large-scale, complex projects.
- Strong stakeholder management, communication, and influencing skills.
Qualifications:
- Undergraduate degree required, advanced technical degree including Master or PhD in a quantitative discipline (e.g. economics, statistics, mathematics, engineering or operations research) preferred.
- 15+ years of experience in financial modeling, data science, or other relevant field.
- Knowledge of financial service products and risk characteristics.
- Excellent proven management and leadership skills required to direct a group of quantitative analysts in diverse fields and to ensure unit plans and objectives are achieved.
- Excellent communication skills: ability to communicate and educate on technical and complex ideas and methodologies to groups and individuals with and without technical expertise in these areas.
- Experience presenting to Senior Executives, Board members, regulators, and other external entities/stakeholders.
- Organizational and time-management skills.
- Ability to deliver day-to-day commitments and complex projects on time and within budget.
