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 function

• Articulate complex data analysis concepts during client engagements

• Develop, sustain, and enhance enterprise AML/CTF models as well as AI solutions

• Support regulatory obligations and TD’s global AML/CTF initiatives

• Address emerging financial crime threats and assist with customer ratings, sanctions screening, transaction monitoring, model performance assessment, analytics, and reporting

• Spearhead and finalize intricate projects that integrate cross-functional processes

• Conduct independent analysis, design, and support for technical data management solutions

• Manage and prioritize various projects along with long-term functional planning

• Collaborate with business owners to identify opportunities and act as a data science ambassador

• Convert business challenges into actionable data science solutions

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

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

• Work alongside analysts, engineers, and application developers to create scalable data science solutions

• Provide analytical thought leadership and educate the organization on hypothesis testing and statistical validation

• Identify risks, offer guidance, and lead remediation strategies for performance, risk, and governance challenges

• Monitor service levels, productivity, efficiency, and implement continuous process improvements

• Cultivate relationships across business lines and control functions

• Uphold risk management and control processes in alignment with regulatory standards and risk appetite

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

⛳️ Requirements

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

• Must not require current or future TD sponsorship

• Minimum of 5 years of relevant experience or progressive project work experience with a preferred undergraduate or advanced technical degree

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

• Robust numerical intuition and the ability to assess model outputs, data quality, and performance trade-offs

• Proficient in Python and SQL

• Experience in Financial Crimes / Compliance Risk Analytics is advantageous

• Hands-on experience with GenAI applications, including fine-tuning or prompting LLMs, is highly desirable

• Ability to create analytical solutions utilizing LLM APIs and leverage GenAI applications for data labeling solutions

• Capability to work with data infrastructure, big data, and advanced analytics

• Willingness to collaborate with data and business analysts, software engineers, data engineers, and application developers

• Ability to fulfill the stated physical requirements, including prolonged sedentary work, sitting, concentration, reading, writing, and performing arithmetic operations

🏝️ Benefits

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

• Health and wellness benefits

• Savings and retirement programs

• Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO

• Banking benefits and discounts

• Opportunities for career development

• Recognition and rewards programs

• Regular discussions on career development and performance

• Access to an online learning platform

• Mentoring programs

• Training and onboarding sessions

• Occasional domestic travel