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data mining analyst

Title posted on CareerBeacon - Risk Modelling Analyst Intern Co-op (Retail Model Development)(Fall )

Posted on May 12, 2025 by Employer details TD Bank

Job details

Role Type:Internship/Co-opWork Term:Fall/Term 1Work Location:Toronto, Ontario, CanadaHours:37.5Pay Details:$45,700 - $74,400 CADTD 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 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 Programming is 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 techniqu