Applied Machine Learning Scientist I

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$76,800 - $115,200 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview

TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for credit, fraud/AML (anti-money laundering), NLP, pricing, hedging, insurance, capital evaluations, and marketing. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

Job Description

The position reports to Senior Applied Machine Learning Scientist in the AI/ML Model Validation team. Detailed accountabilities include:

• Validate (review, test, and provide effective challenge) AI/ML models.
• Stay up to date with advancements in the field of AI/ML including major publications, evaluation metrics, technology stacks, and libraries.
• Maintain full professional knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management.
• Develop/implement AI/ML model validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practices or address regulatory and audit requirements.
• Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable.
• Communicate findings and recommendations to both technical and non-technical stakeholders.
• The position involves working effectively with different internal partners such as AI2, FCRM, RMD, P&T etc.

Job Requirements

• Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, engineering, machine learning, statistics, mathematics, physics, or actuarial science.
• Proven experience as a Machine Leaning Scientist, Data Scientist or a similar role.
• Experience with fraud and/or anti-money laundering (AML) model development is a plus.
• Experience with and strong knowledge of AI/ML methodologies for supervised and unsupervised learning, including Tree-Based methods (XGBoost, Random Forest, etc.), (Non)Linear Regression methods, Anomaly Detection methods, Bagging/Boosting methods, Deep Learning, , and Generalized Additive models.
• Motivated to stay up to date with the latest advancements in machine learning, and cloud technologies.
• Proficient in Python and PySpark .
• Familiarity with cloud platforms (e.g., Azure DataBricks, Azure ML Studio) and big data technologies (e.g., PySpark, Hadoop).
• Familiarity with principles of Object Oriented Programming (OOP).
• Knowledge of machine learning explain-ability/interpretability algorithms.
• Excellent verbal and written communication skills (position requires writing clean technical reports).
• Ability to work independently and collaboratively in a fast-paced, dynamic environment. Good time management and multitasking skills with minimal supervision.

Preferred Qualifications

• Ability to implement AI/ML algorithms from academic research papers is a plus.
• Experience with distributed computing and parallel processing using Spark.
• Knowledge of SQL and database systems.

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.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:

We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we're committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process

We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you

Language Requirement (Quebec only):

Sans Objet