Applied Machine Learning Scientist II

Work Location: New York, New York, United States of America

Hours: 40

Pay Details: $96,130 - $155,950 USD

Line Of Business: Analytics, Insights, & Artificial Intelligence

At TD Bank US Compliance, we're on a mission to build a more resilient and scalable compliance risk management function. As part of our team, you'll play a key role in reshaping compliance structures and processes, driving innovation at every level. Here, each team member has a chance to make a tangible impact – both in day‑to‑day operations and in the design of a future‑focused compliance program.

This is not just about implementing a new program – it's about creating a culture of compliance that will cascade throughout the organization.

In this role, you will play a key role in ensuring the appropriate application of models and positioning TD as an industry leader in Responsible and Ethical AI. The role focuses on the intersection of fairness, transparency, and accountability in Artificial Intelligence and Machine Learning (AI/ML). The successful candidate will contribute to ensuring that models are developed and deployed responsibly, with outcomes that are explainable, trustworthy, and aligned with ethical standards.

The successful candidate will join the Fair Banking Compliance Model Review team, which is responsible for ensuring the bank’s models are fair, transparent, and responsibly deployed. This role requires strong expertise in Generative AI and machine learning, advanced data analysis, and the selection of appropriate statistical tests and bias metrics, as well as familiarity with emerging fairness methodologies. The incumbent will evaluate existing fairness approaches and contribute to the design and evolution of the bank’s fairness evaluation framework.

This is a senior role requiring deep analytical judgment, strong stakeholder management, and effective communication skills, and it plays a critical part in providing independent oversight of models to support fair banking compliance. The role may include people management responsibilities.

• Lead reviews of machine learning, AI, and Generative AI models across TD to identify potential fairness and bias risks.
• Represent Compliance in major projects, initiatives, and enterprise engagements.
• Perform quantitative analyses to identify fair lending risks associated with model development and use.
• Identify and recommend alternative approaches to mitigate fair lending bias arising from models.
• Develop specialized analytical tools to support project‑specific needs or ongoing review activities.
• Compile, analyze, and generate ad‑hoc analytical reports for internal stakeholders.
• Lead research efforts by applying advanced statistical analysis and modeling expertise.
• Provide advisory support to line‑of‑business model owners on compliance best practices aligned with internal policies and industry standards.
• Lead cross‑functional teams or initiatives involving significant complexity.
• Independently manage end‑to‑end functional programs and deliverables.
• Apply sound judgment and a sophisticated analytical mindset to identify risks and recommend solutions.
• Communicate complex analytical findings clearly to non‑technical audiences.
• Operate autonomously as a subject matter expert while mentoring and guiding others within the area of expertise.
• Manage multiple concurrent projects and priorities in a dynamic business environment.
• Lead and mentor junior team members.

The Applied Machine Learning Scientist II is responsible for providing technical knowledge and expertise on advanced analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures. This role generally provides expertise in stakeholder interactions related to complex advanced analytics related material. Additionally, this role plays a lead role in the development of AI/ML systems to solve a range of complex problems and is adept at translating business objectives into technical solutions.

• Adept at technical project execution, strategic planning and…