Risk Modelling Analyst Intern/Co-op

DEPARTMENT OVERVIEW

Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

Our Co-op/Intern Programmingis offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

• Leadership talks with key Leaders from across the organization

• Connect and Learns on topics such as Innovation

• Diversity and Inclusion and Personal Branding and so much more

JOB DESCRIPTION

In this position, the individual will be responsible for the development, initial validation, documentation, and support in all stages of audit, implementation and ongoing monitoring of account-level models for credit risk parameters (PD, EAD, and LGD) for all TD Canadian and US retail credit product portfolios. The individual will also be responsible for updating/re-developing existing models for these portfolios as required.  
 
These predictive models serve as the basis for establishing default, exposure and loss parameter estimates for use in calculating Risk-Weighted Assets (RWA) for Canadian and US retail credit exposures under the Basel III AIRB approach. They will also be used to calculate loan loss allowance and economic capital for these portfolios, as well as calculate expected credit losses, RWA, loan loss allowance and economic capital under various macroeconomic scenarios included in the Bank's internal and regulatory stress tests.   
 
The position will involve interactions with Model Validation, Model Risk Management, Internal Audit, and external auditors, as well as with the Bank's Canadian (OSFI) and US (OCC and FED) banking regulators, in order to support their review and approval process for the risk parameter models. The position will ensure compliance with the TDBG Model Risk Policy, Capital Model Approval Policy, Data Governance requirements, and other relevant policies and regulatory requirements.      
 
The individual will closely work with and actively support TDBG Retail Risk Management, as well as retail credit product and finance areas by providing a deep analysis of credit risk drivers and parameters under various scenarios for the respective Canadian and US retail credit portfolios. This will entail discussing key observations and conclusions derived from the data analysis and modelling with the various retail credit product, finance, and risk management groups, and assisting these groups in managing product portfolio risk and profitability.  
 
The individual will use leading-edge technologies and develop innovative solutions in the following areas:  
- Data mining by making sense of large databases of historical data related to credit risk;  
- Predictive credit risk modelling based on rigorous statistical analyses of historical data, regression techniques, and econometric analyses; 
- The predictive models leverage both traditional statistical techniques as well as the new AI and machine-learning methodologies; and 

- Estimating credit risk embedded in the Bank's Canadian and US retail credit product portfolios, as well as the amount of regulatory and economic capital the Bank needs to allocate against these portfolios; and  
 
This position provides excellent learning, working and career opportunities in a flexible but highly professional and motivated team environment, as well as exposure to a variety of high-paced and intensive modelling projects and a variety of internal and external stakeholders 

This position requires a combination of dedication, extremely hard work, and attention to detail on one hand, as well as quick learning, creativity, and non-standard thinking on the other. The technical skills and experience required for this position include a strong mathematical, statistical, and computer science background, as well as experience with data mining and statistical modelling. 

JOB REQUIREMENTS 

• Currently enrolled inan undergraduate degreein Math, Stats, Data Science, Computer Science or related field

• Strong working knowledge and hands-on experience using a programming language (e.g. Python, SAS, or SQL) in the context of data manipulation, data mining, statistical analysis, and predictive modelling

• Proficiency in creating and manipulating datasets for data mining and predictive statistical modelling.

• Strong knowledge of modern statistical model development and validation concepts and techniques (particularly linear and logistic regression); 

• Strong problem-solving skills, with the ability to independently identify and solve problems in an effective and timely manner

• Strong project management skills, with the ability to successfully work with multiple stakeholders to achieve the group's objectives; 

• Strong communication skills (both written and oral), with the ability to effectively present technical, business, and project management subjects to multiple stakeholders.

ADDITIONAL INFORMATION

• This position is a 4-month work term and will commenceSeptember2nd– December 19th, 2025.

• Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

• We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

• TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

• TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.