Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$97,400 - $136,800 CAD

This 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:

JOB DESCRIPTION & KEY ACCOUNTABILITIES

Do you want to dive into the intersection of fairness and modeling? Do you want to tackle how we can leverage explainability approaches to understand models? Are you passionate about technology and ethics? If so, then this is a job for you.

As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting modeling solutions to improve customer experience and drive business performance, including AI and machine learning. While models are increasingly pervasive across society, there are many outstanding questions and challenges to ensure that model outcomes are fair and transparent. In this position, you will play a key role in ensuring the appropriate application of models.

This position reports to the Senior Manager, Compliance Oversight of Models Office. Detailed accountabilities include:

• Conduct research on how to identify, assess, and address modeling risks and associated concerns

• Support the development of technical standards and guidelines covering model risk matters, and draft key compliance documents in appropriate coordination with stakeholders

• Represent Compliance in major projects, initiatives, and engagements

• Evaluate model development procedures and practices

• Develop training materials and guidelines to help businesses address regulatory compliance throughout the model lifecycle

• Maintain up-to-date knowledge of techniques and developments in the field of advanced modeling and share knowledge with business partners and senior management

• Review use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:

• Supporting compliance risk management associated with models used by TD, and

• Supporting the business in monitoring regulatory compliance and risk mitigation throughout the model lifecycles.

TEAM DESCRIPTION

The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance perspective. COMO's oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:

• Assessing models for regulatory compliance;

• Providing oversight and independent challenge to approaches used to identify, assess, and address regulatory compliance risk; and

• Supporting the business in monitoring regulatory compliance and removing or mitigating risk throughout the model lifecycle.

COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the challenges of tomorrow is to have a team that can see those challenges today.

DEPARTMENT OVERVIEW

The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

JOB REQUIREMENTS

• Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization

• Experience with/knowledge of methods, techniques and tools to support model explainability and bias/fairness assessments

• The ability to stay abreast of developments in advanced modeling

• The ability to effectively collaborate with technical and non-technical stakeholders (e.g., business partners and control partners) across the model development lifecycle and as part of enterprise initiatives

• Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions

• Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise

• Excellent verbal and written communication skills

• Work effectively as a team to peer review other team member model reviews and share knowledge

• Establish strong relationships with Business Units, Control Partners, Compliance Units, acting as a primary Compliance contact for model compliance risks

• Assist with response to regulatory inquiries, examinations and investigations as applicable.

• Quick learner who constantly works on improving skills and expertise.

• Good time management and multitasking skills with minimal supervision.

EXPERIENCE & EDUCATION:

• Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)

• Relevant experience with the model development lifecycle (model validation expertise would be especially advantageous)

• Demonstrable engagement with the issues of explainability and/or fairness in the context of advanced analytics and modeling

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 (http://www.td.com/ca/en/about-td/who-we-are/benefits-of-working-at-td)

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):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.

Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.