Campus Pride Jobs

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Data & Analytics

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 a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description:

Department Overview :

The TDBG Retail Model Development (RMD) group is responsible for developing industry leading estimation approaches and deliver actionable intelligence for retail credit portfolios for risk management and capital planning. This entails development, implementation and maintenance of retail credit risk rating and parameter models (PD, EAD, and LGD) as well as their subsequent aggregation used for estimation of Risk-Weighted Assets (RWA) as required under the Basel II Retail Advanced Internal-Ratings Based (AIRB) approach, estimating allowance for expected credit losses for performing and impaired assets under IFRS9/CECL rules, and forecasting credit losses and capital requirements under various macroeconomic and other stress scenarios.

Job Description :

In this position, the individual will be responsible for the development of climate risk models to quantify impact of climate risk drivers on TD's retail lending portfolios and support relevant model lifecycle activities. As part of the role, the individual will also participate in regulatory and internal climate scenario analysis and provide subject matter expertise to the business on incorporating climate risk factors in borrower level assessment and portfolio level monitoring.

The position reports to Senior Manager, Retail Model Development with the following accountabilities:

• Perform key tasks associated with climate risk model development including data mining and other exploratory data analysis, identify suitable modelling methodology based on academic and industry literature and assess model performance for stated usage.

• Support modeling activities through entire model lifecycle, including model implementation, execution of climate scenario analysis and assessment of produced results, support of validation and audit reviews, remediation of identified model limitations.

• Prepare detailed reports describing the statistical background of the selected model, rationalizing modelling choices, demonstrating model performance through testing performed and outlining compliance with applicable regulatory guidelines.

• Prepare management summaries highlighting key decisions made during development process, outlining key outcomes and opportunities for further enhancements.

• Establish and maintain productive working relations with key stakeholders through model lifecycle including Environmental, Social and Governance (ESG) Risk Management, Model Validation and Audit.

• Stay current in knowledge of credit risk management methodologies, predictive modeling, and statistical analysis, as well as applicable regulatory guidelines.

Requirements and/or qualifications :

• Strong statistical background, excellent analytical and independent problem solving skills with a graduate degree in statistics or related quantitative discipline

• Industry experience (with at least 2 years of experience) in model development or other quantitative role

• Hands-on experience with SAS and/or other sophisticated statistical model development tools (such as Python, R)

• Experience with predictive model development and/or statistical scorecard modeling

• Proficiency in creating and manipulating large data sets for data mining and predictive statistical modelling

• Knowledge in retail banking products, customer behaviours, and credit adjudication systems is an asset

• Excellent verbal and written communication skills to establish and maintain effective relationships across multiple business stakeholders.

• Strong project management skills and ability to prioritize and manage workload based on assigned timelines

• Quick learner who grasps new concepts and techniques quickly

• Support positive work environment that promotes service to the business innovation and teamwork

Experience and/or Education Requirements:

• Graduate degree in Statistics or related quantitative discipline (Mathematics, Actuarial Sciences, Econometrics, Computer Science, Operations Research or other related fields)

• Industry experience (with at least 2 years of experience) in model development or other quantitative role involving statistical modelling experience

• Previous experience with TD retail products or modelling would be a great asset.

• Previous experience with climate risk modelling would be a great asset.

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.

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:

N/A.

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