Senior Manager, Data Science – FCRM Modeling

🕒 3 days ago

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Logo of TD

TD

10,000+ employees

Founded 1855

🏦 Banking

💸 Finance

🛡️ Insurance

💰 Grant on 2023-10

Banking • Finance • Insurance

TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.

📋 Description

• The Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through data science. • This role manages the overall data scientist team or function for a key business which may include Modelers and/or Data Scientist roles. • Oversees the development of data models, data mining and analytic solutions. • Facilitates key strategic discussions and provides thought leadership to executive audience. • Sets operational team direction and collaborates with others to execute on common goals. • Focuses on longer range planning for functional area (e.g. 12 months or greater).

🎯 Requirements

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) • Graduate's degree preferred with either progressive project work experience, or; 7+ year of relevant experience; higher degree education and research tenure can be counted • Minimum of 7 years of relevant experience required; candidates with 5 years of highly relevant experience may also be considered. • Demonstrated experience leading data science, analytics, or innovation initiatives for enterprise-scale solutions in production environments. • Proficiency in Python, SQL, or equivalent programming languages. • Experience in financial crimes, compliance risk analytics, model risk, or related risk management domains. • Strong understanding of large language models (LLMs), machine learning, and quantitative risk analysis. • Experience optimizing, testing, and tuning AML/CTF solutions. • Experience developing dashboards, web applications, or other user-facing analytical tools. • Proven experience managing teams and collaborating effectively across cross-functional stakeholders.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options • Professional development opportunities

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