THE IDEAL CANDIDATE

The ideal candidate will thrive in a fast-paced, start-up-like setting as we build a new compliance structure that aligns with the bank’s size, complexity, and risk profile. In this role, you’ll need to be strategic, tactical, collaborative and creative in your approach. You will manage day-to-day operations while also helping design and implement a forward-thinking compliance program for the future.
Beyond technical expertise, we’re looking for someone with an entrepreneurial mindset—someone who can “roll up their sleeves”, takes the initiative and can anticipate needs before they arise. A comfort level with ambiguity and the ability to excel in a dynamic, evolving landscape are essential as the US Compliance team redefines the bank’s compliance program and structure.
Most importantly, the right candidate is seeking an intellectual challenge, has a desire to learn, and is committed to building something impactful from the ground up. At TD Bank, you’ll have the unique opportunity to help shape the future of the bank while collaborating with a team of enthusiastic colleagues dedicated to setting new industry standards.
The Fair Banking Compliance team oversees the governance and analytical processes to assure that predictive models and lending practices are fair and responsible. The Fair Banking Compliance analytics team is seeking a qualified Data Scientist II who will perform the quantitative analysis, model development, model review and related research to meet the business requirements of the team. This is a critical role in the oversight and review of models to ensure fair banking compliance. The incumbent of this role must have a strong working knowledge of building quantitative models, performing data analysis, recommending statistical tests, researching metrics and presenting results of data analysis. The role requires excellent verbal and written communication skills to communicate effectively with business partners.

JOB DESCRIPTION SUMMARY:

The Data Scientist II is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.

EDUCATION & EXPERIENCE:

• Undergraduate degree or advanced technical degree (e.g., math, physics, engineering, finance or computer science) Graduate’s degree preferred with either progressive project work experience, or;
• Past relevant work experience is a plus

DESIRED SKILLS & EXPERIENCE:

• Doctorate degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering)
• Research experience is a plus.
• Strong statistics knowledge is required.
• Entrepreneurial spirit, strong attention to detail, ability to take the lead on projects, in depth interest in solving complex business problems with data and passion for spreading a culture of change towards data-driven decision making
• Demonstrated experience in development of predictive models using Python
• In-depth knowledge of quantitative models and statistical analysis, Experience working with AI/ML and Gen AI based models. Proficiency in Python is required
• Experience working with databases/datasets and data visualization tools (Tableau/Power BI)
• Strong communications skills, both written and verbal. Strong presentation skills; ability to communicate technical matters in a non-technical way & clearly present complex and sensitive issues

CUSTOMER ACCOUNTABILITIES:

• Understands business context and data infrastructure and translates business problems to viable data science solutions
• Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
• Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
• Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

SHAREHOLDER ACCOUNTABILITIES:

• Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
• Educates the organization on approaches, such as testing hypotheses and statistical validation of result
• Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
• Translates up to date information into continuous improvement activities that enhance performance
• Contributes to various operational activities and processes as assigned
• Is knowledgeable of practices and procedures within own area of responsibility and keeps abreast of emerging trends for own functional area
• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
• Acquires and applies expertise in the discipline, provides guidance, assistance and direction to others
• Identifies, recommends and effectively executes standard practices applicable to the discipline
• Adheres to internal policies/procedures and applicable regulatory guidelines
• Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

EMPLOYEE/TEAM ACCOUNTABILITIES:

• Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
• Supports the team by continuously enhancing knowledge/expertise in own area and participates in knowledge transfer within the team and business unit
• Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
• Participates in personal performance management and development activities, including cross training within own team
• Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
• Contributes to the success of the team by willingly assisting others in the completion and performance of work activities; provides training, coaching and/or guidance as appropriate
• Contributes to a fair, positive and equitable environment that supports a diverse workforce
• Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

PHYSICAL REQUIREMENTS:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

• Domestic Travel – Occasional
• International Travel – Never
• Performing sedentary work – Continuous
• Performing multiple tasks – Continuous
• Operating standard office equipment - Continuous
• Responding quickly to sounds – Occasional
• Sitting – Continuous
• Standing – Occasional
• Walking – Occasional
• Moving safely in confined spaces – Occasional
• Lifting/Carrying (under 25 lbs.) – Occasional
• Lifting/Carrying (over 25 lbs.) – Never
• Squatting – Occasional
• Bending – Occasional
• Kneeling – Never
• Crawling – Never
• Climbing – Never
• Reaching overhead – Never
• Reaching forward – Occasional
• Pushing – Never
• Pulling – Never
• Twisting – Never
• Concentrating for long periods of time – Continuous
• Applying common sense to deal with problems involving standardized situations – Continuous
• Reading, writing and comprehending instructions – Continuous
• Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

LI-AMCBCorporate

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

KEY RESPONSIBILITIES:

• Develop\Review models (traditional regressions, AI/ML and Gen AI based) to ensure fair banking compliance
• Perform quantitative analysis to identify fair lending risks
• Identify potential alternative ways to mitigate fair lending bias arising from models/policies
• Develop specialized analytical tools for projects or ongoing use
• Compile and generate ad-hoc analytical reports
• Lead research efforts, applying expertise in statistical analysis and modeling
• Provide advisory support to line of business model owners regarding best practices for compliance guided by policies and industry standards/methods
• Lead cross-functional teams or projects with significant complexity
• Independently manage end-to-end functional programs
• Use sophisticated analytical mindset to exercise judgement and identify solutions
• Communicate complex results to non-technical audience
• Work autonomously as the lead and guide others within the area of expertise
• Independently handle multiple projects and prioritize based on changing business needs

THE ABOVE DETAILS ARE SPECIFIC TO THE ROLE WHICH IS OUTLINED IN THE GENERAL DESCRIPTION BELOW. PLEASE REVIEW THE DESIRED SKILLS AND EXPERIENCE SECTION BELOW AS YOU CONSIDER THIS OPPORTUNITY.

Our team currently operates under a hybrid work model, with employees expected to work in the office two days per week. Starting in November 2025, this expectation will increase to four days per week. Please note that, due to limited office space, the exact timing of this transition may vary depending on availability and individual circumstances.