Data Scientist III – Financial Crime Risk Modeling

🔥 25 minutes ago

🏖️ New Jersey, New York – Remote

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💵 $96.1k - $155.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of TD

TD

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 • develops, maintains, and enhances the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies • supports TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice • seeks talented data scientists to join to innovate, drive, and support initiatives and business as usual operations in multiple functional areas

🎯 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 • Strong foundation in regression, classification, and machine learning models and anomaly detection techniques • Proficiency with Python and SQL is a must • Experience in Financial Crimes / Compliance Risk Analytics is a plus • Hands-on experience with GenAI applications is a strong plus, including but not limited to fine-tuning or prompting LLMs, ability to build analytical solutions using LLM APIs, and use GenAI applications to develop data labeling solutions

🏖️ Benefits

• health and well-being benefits • savings and retirement programs • paid time off (including Vacation PTO, Flex PTO, and Holiday PTO) • banking benefits and discounts • career development and reward and recognition

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