Data Scientist III – FCRM Risk Modeling

This is a fully remote position, open to applicants in New Jersey, +3 more states.

📋 Description

• Provide technical guidance across the entire Analytics division

• Articulate intricate data analysis concepts during client engagements

• Develop, sustain, and enhance enterprise Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) models and AI solutions

• Support compliance with regulatory requirements and changes, internal policies, and TD's global AML/CTF strategies

• Address emerging risks while adhering to industry best practices

• Collaborate on customer rating, sanctions screening, transaction monitoring, emerging risks, model performance tracking, analytics, and reporting

• Execute complex initiatives that integrate cross-functional processes

• Independently conduct analysis, design, and support of technical data management solutions

• Focus on long-term planning while managing or prioritizing multiple projects

• Partner with business owners to identify opportunities and act as an ambassador for data science

• Convert business challenges into actionable data science solutions

• Extract and prepare data, apply statistical methods and advanced analytics, and generate insights from large data sets

• Visualize insights and convey results to decision-makers and stakeholders

• Collaborate with data and business analysts, software engineers, data engineers, and application developers

• Provide analytical thought leadership and remain updated on advancements in data mining and data science

• Enhance business processes through data-driven insights

• Educate the organization on hypothesis testing, statistical validation, and scientific methodologies

• Participate in cross-functional and enterprise initiatives as a subject matter expert

• Monitor service quality, productivity, and efficiency while implementing process enhancements

• Lead or facilitate remediation strategies for performance, risk, and governance concerns

• Manage relationships across various business lines and control functions

• Track emerging issues, trends, and regulatory requirements

• Foster a culture of risk management and control

• Mentor colleagues, share knowledge, and contribute to team development

⛳️ Requirements

• Must be a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder)

• Must not require current or future sponsorship from TD

• An undergraduate or advanced technical degree is preferred, such as in math, physics, engineering, finance, or computer science

• A graduate degree is preferred, alongside either progressive project work experience or over 5 years of relevant experience

• Advanced educational qualifications and research experience may be considered

• Strong foundation in regression, classification, machine learning models, and anomaly detection techniques

• Proficiency in Python and SQL is essential

• Experience in Financial Crimes / Compliance Risk Analytics is advantageous

• Practical experience with GenAI applications is a significant plus, including fine-tuning or prompting large language models (LLMs)

• Ability to construct analytical solutions using LLM APIs and leverage GenAI applications for data labeling solutions

🏝️ Benefits

• Competitive base salary along with variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards

• Comprehensive health and wellness benefits

• Savings and retirement programs

• Paid leave options, including Vacation PTO, Flex PTO, and Holiday PTO

• Banking benefits and discounts

• Opportunities for career development

• Recognition and rewards programs

• Regular discussions about career progression, development, and performance

• Access to an online learning platform

• Mentoring programs available

• Training and onboarding sessions

• Opportunities for domestic travel