Machine Learning Scientist


Job title: Machine Learning Scientist

Company: TD Bank

Job description: Company Overview

Our Values
At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

Making Your Well-being a Priority
A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars – physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

Our Total Rewards Package
Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their 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 including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

How We Work
At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

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. 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.

Department Overview

TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for credit, fraud, 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 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 and strong knowledge of AI/ML methodologies including Deep Learning, Generative AI, modern Natural Language Processing (NLP), Transformers, Retrieval-Augmented Generation (RAG), Diffusion models, Bagging/Boosting methods, and Generalized Linear models. · Experience with Deep Learning and Generative AI technology stacks such as PyTorch, Tensorflow/Keras, LangChain, HuggingFace, etc. · Motivated to stay up to date with the latest advancements in Generative AI, machine learning, and cloud technologies. · Proficient in one or more scripting/programming languages such as Python, Java, Scala, R. · Familiarity with cloud platforms (e.g., Azure, AWS) 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.

Hours

37.5

Job Details

The position reports to Senior Manager in the AI/ML Model Validation team. Detailed accountabilities include: · Validate (review, test, and provide effective challenge) AI/ML models including Generative AI models. · Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets. · 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 ED&A, PBSA, Layer6, FC&FMG, TD Wealth, TD Insurance, etc.

Workplace Model

Hybrid

Inclusiveness

Our Commitment to Diversity, Equity, and Inclusion
At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

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.

How We’re Helping Make an Impact in Communities
TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

We look forward to hearing from you!

Additional Information

#LI-Hybrid

Business Line

Corporate

Job Category – Primary

Risk Management

Job Category(s)

Risk Management

Job Family

Advanced Analytics & Modelling

Time Type

Full Time

Employment Type

Regular

Pay Details

We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

Careers Web Site Cities

Canada-Ontario-Toronto, Canada-Quebec-Montreal

Proficiency in Other than French

This position requires proficiency in a language other than French to support or deal with employees or colleagues who require services and support in a language other than French.

Expected salary:

Location: Montreal, QC

Job date: Thu, 25 Jan 2024 05:00:47 GMT

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