Risk Management Quantitative Associate Rotational - Toronto, Canada - TD Bank
Description
418666BRCampus Program
Toronto, ON
September 5, 2023
Campus Role Type
MBA and Advanced Degrees
Start Date
- Summer,
- Winter
37.5
Workplace Model
Hybrid
Department Overview
Risk Management at TD Bank Group (TD) is the bridge between computational analysis and business best practices.
Quantitative assessments play a key function within TD; these are actively used for developing, validating and managing models for risk, pricing, hedging and capital evaluation of the various portfolios and financial products of TD.
In other words, it's all about the numbers.
Our enterprise has seen strong growth in its quantitative departments over recent years, reflecting improvements to computational ability, data quality and volume, along with the banking industry's increasing attention to understanding and managing model risk.
Canada, United States, the UK and Singapore.
We also work externally with regulators and industry groups to align with industry standards, and we benchmark ourselves against best practices.
Job DetailsAbout the Program
If you have a sharp mathematical mind with an eye for finance, we want you to be part of our leadership rotational program.
- Model Development
- Model Validation
- Treasury and Balance Sheet Management
- TD Insurance
- TD Asset Management
- TD Economics
- Internal Audit
What You'll Do
No matter where you work at TD you'll make a meaningful impact, grow your skills and thrive in our culture of care.
Here's what that means for each rotation in our program:Make an Impact:
- Build mathematical and statistical models for the North American profile of TD, both US and Canada. These models include credit risk (e.g., Probability of Default, Exposure at Default and Loss Given Default), operational risk and market risk models used for risk management, accounting, economic/regulatory capital and stress testing purposes
- Assist in the development and testing of new modelling methodologies and effectively challenge these models through benchmark modelling, model validation and/or review within Internal Audit's model risk division
- Prepare management summaries describing the mathematical analytics of models, validation techniques, test results and model limitations, including recommendations for further improvements
- Help to manage the areas of risk and solvency assessment (ORSA), expected credit losses, asset and liability management along with liquidity
- Participate in quantitative and qualitative validation efforts surrounding key processes including Internal Capital Adequacy Assessment Process (ICAAP), stress testing (DFAST/CCAR/EWST) and regulatory capital
Experience Growth:
- Liaise with other business partners to ensure timely delivery of new models and resolve modelling issues
- Demonstrate governance, control and risk management in alignment with TD policies and practices
- Work on challenging projects alongside experienced leaders in the field
Cultivate our Culture of Care:
- Develop strong relationships to help identify collaborative opportunities and coordinating efforts with other Risk groups
- Be supported by a robust team of colleagues, peers and advisors to ensure your growth, development and success
Colleague Development
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed.
Receive 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.
Job RequirementsWhat You Need to Succeed
We're proud to work with a group of diverse colleagues. If you have relevant experience that isn't mentioned below, tell us about it in your resume or cover letter.
- Strong quantitative background with advanced mathematical and/or statistical ability
- Excellent problemsolving skills
- Computational and programming skills (e.g., R, Python, SAS, Matlab, C++, C, among others)
- Excellent verbal and written communication skills; can explain complex technical issues in everyday language
- Strong time management skills with the ability to work independently when required
- Fast learner who grasps new concepts and techniques quickly
- Desire to work in a caring, r
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