# Modelling / Forecasting Senior Analyst (Quants) at TD Bank

TD Bank is hiring a Modelling / Forecasting Senior Analyst (Quants) in Toronto, Canada. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/b30b8e94-4c9b-426c-9866-c790c238067c?utm_medium=ai-agent).

AI Level 1, AI centrality 33 out of 100. Toronto, Ontario.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 33 out of 100)
- Location: Toronto, Ontario
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/b30b8e94-4c9b-426c-9866-c790c238067c?utm_medium=ai-agent

## Description

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: 81,600 - 115,200 CAD 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: In this position, the individual will be responsible for validating and compiling different datasets related to different retail products and building dashboards over it to highlight the trends in expected credit losses and credit risk drivers. Using sound knowledge in credit risk models as well as advanced statistical tools, such as machine learning algorithms, to deliver innovative solutions for our stakeholders and add value in effective risk management process. This will entail extensive and deep interactions with TDBG Model Validation and Model Risk Management, TDBG retail risk management team, layer 6 and technology team to support model review and approval process and ensure model compliance with TDBG Model Risk Policy. The position will work closely with and actively support TD Retail Risk Management, as well as retail credit product areas by providing extensive analysis of credit risk drivers for the respective product portfolios. This will include discussing with the retail credit product, finance, and risk management areas key observations and conclusions derived from the data analysis, modelling, and assisting in their use to manage product portfolio risk and profitability. The individual will use leading-edge technologies and develop innovative solutions in the following areas: Data mining – making sense of some very large databases of credit risk related historical data by leveraging state of art statistical technics, such as machine learning and artificial intelligence algorithms Predictive credit risk modelling based on rigorous statistical analysis of historical data that will assist our key business partners achieve growth and profitability targets while maintaining acceptable levels of risk within our lending portfolios Assist in the validation and assessment of internally and third party developed predictive models, includes data extraction, data analysis, assisting in methodology development and documentation To develop and maintain expertise with lending, credit scoring, behavior scoring, portfolio management and industry trends To provide decision support, analytical, and statistical service through modeling and segmentation to help Lending BUs achieve business objectives. This position provides excellent learning, working and career opportunities in a highly professional and motivated team environment, and exposure to a variety of high-paced and intensive modeling projects and to a variety of internal and external stakeholders MUST HAVE: 5+ years of relevant working experience Sound knowledge in industry best practices in predictive modelling, including machine learning algorithms A university degree in quantitative discipline (Statistics, Mathematics, Computer mathematics, Econometrics, Operations Research); An advanced degree is an asset Proficiency in programing using statistical analysis tools, such as Python/R, SAS, Scala, Spark etc., in the context of data manipulation, data mining, statistical analysis, and predictive modelling; Proved to be a quick learner, strong problem-solving skills, ability to independently identify and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/modelling-forecasting-senior-analyst-quants-at-td-bank-7b14a9

Source: https://jobsbylevel.com/jobs/modelling-forecasting-senior-analyst-quants-at-td-bank-7b14a9

## Cite this page

Level. https://jobsbylevel.com/jobs/modelling-forecasting-senior-analyst-quants-at-td-bank-7b14a9.

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