Data Scientist III – Financial Crimes Modeling

🔥 0 minutes ago

🏖️ New Jersey, New York, +1 more states – Remote

🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $96.1k - $155.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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TD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1855

🏦 Banking

💸 Finance

💰 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

• Provides technical leadership across the overall Analytics function which may have an enterprise mandate. • Provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. • Developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies. • Supporting TD's global AML/CTF strategies, addressing emerging risks, and aligning with best industry practice. • Innovating, driving, and supporting initiatives and business as usual operations in multiple functional areas including customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting.

🎯 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 5+ year of relevant experience; higher degree education and research tenure can be counted • In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience • Proficient with Python or equivalent programming language and SQL • Experience in Financial Crimes / Compliance Risk Analytics is a plus • Experience in optimization / testing / tuning of AML/CTF solutions, particularly transaction monitoring systems • Experience in machine learning model development, validation, and deployment; experience with LLM-based solutions a plus • Familiarity with cloud platforms (Azure) and modern data stack tools a plus

🏖️ Benefits

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