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4,190

Economics jobs in Canada

Senior Quantitative Analyst

TD

Canada
On-site
CAD 76,000 - 116,000
6 days ago
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Expert Succès Client (CRM et RevOps)

Vasco

Montreal
Hybrid
CAD 70,000 - 90,000
6 days ago
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Financial Services Director Bilingual (FR/EN)

PricewaterhouseCoopers International

Montreal
Hybrid
CAD 120,000 - 160,000
6 days ago
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Finance Manager - Loss Prevention

TJX CANADA

Mississauga
Hybrid
CAD 87,000 - 132,000
6 days ago
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25-202 - Senior Technical Officer/Engineer

Morson Canada

Pickering
Remote
CAD 80,000 - 120,000
6 days ago
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Real Estate Investments Associate: Modeling & Portfolio

PSP Investments

Montreal
Hybrid
CAD 75,000 - 95,000
6 days ago
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Associate, Real Estate Investments

PSP Investments

Montreal
Hybrid
CAD 75,000 - 95,000
6 days ago
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Branch Review Compliance Officer

iA Financial Group

Vancouver
On-site
CAD 75,000 - 85,000
6 days ago
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Professional Banking Specialist, Lawyers - Ottawa

Scotiabank

Ottawa
On-site
CAD 70,000 - 90,000
6 days ago
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Senior Data Scientist, Decisions - Lyft Business

Lyft

Toronto
Hybrid
CAD 136,000 - 170,000
6 days ago
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Senior Manager, ETF Product Management

RBC

Toronto
On-site
CAD 100,000 - 140,000
6 days ago
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Associate Director, Credit Risk Infrastructure

RBC

Toronto
On-site
CAD 90,000 - 120,000
6 days ago
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SENIOR ANALYST, PERFORMANCE & PLANNING

BDC

Montreal
Hybrid
CAD 60,000 - 80,000
6 days ago
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Portfolio Business Development

Martell Media

Kelowna
On-site
CAD 60,000 - 80,000
6 days ago
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Portfolio Growth Leader

Martell Media

Kelowna
On-site
CAD 90,000 - 120,000
6 days ago
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Senior Data Scientist, Decisions - Trust & Safety

Lyft

Toronto
Hybrid
CAD 136,000 - 170,000
6 days ago
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Senior Product Marketing Manager

Vendasta Technologies

Saskatoon
On-site
CAD 95,000 - 125,000
6 days ago
Be an early applicant

Senior Advisor, Regulatory Affairs

EPCOR

Edmonton
On-site
CAD 60,000 - 80,000
6 days ago
Be an early applicant

Developing Investment Advisor (Surrey/White Rock/Langley)

TD

Canada
On-site
CAD 50,000 - 100,000
6 days ago
Be an early applicant

Government Relations Analyst

Hatch Ltd.

Mississauga
On-site
CAD 80,000 - 83,000
6 days ago
Be an early applicant

Vice President, Global Transaction Banking, BMO Capital Markets

BMO

Vancouver
On-site
CAD 110,000 - 130,000
6 days ago
Be an early applicant

PhD Economist II - Real-World Market Design & ML

Uber

Toronto
On-site
CAD 136,000 - 151,000
6 days ago
Be an early applicant

Graduate 2026 PhD Scientist II (AEA/ASSA Economists Only), US

Uber

Toronto
On-site
CAD 136,000 - 151,000
6 days ago
Be an early applicant

Emerging Leader in Structured Trade & Export Finance

TD

Canada
On-site
CAD 100,000 - 125,000
6 days ago
Be an early applicant

Research and Insights Manager, Ads Marketing Sellside - Google - Toronto, ON

Google

Toronto
On-site
CAD 80,000 - 100,000
7 days ago
Be an early applicant

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Senior Quantitative Analyst
TD
Canada
On-site
CAD 76,000 - 116,000
Full time
6 days ago
Be an early applicant

Job summary

A major financial institution located in Toronto seeks a skilled Model Validator to join their team. You will validate complex statistical models, ensuring compliance with bank-wide policies. The ideal candidate will have a strong statistical background, proficiency in Python and experience in model development or validation. This position offers competitive compensation and growth opportunities in a dynamic banking environment.

Benefits

Competitive salary
Comprehensive health and well-being benefits
Career development programs
Paid time off
Banking benefits and discounts

Qualifications

  • 3-5 years of experience with model development/validation, including machine learning models.
  • Strong statistical background and excellent analytical skills required.
  • Hands-on experience with relevant programming languages is a must.

Responsibilities

  • Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy.
  • Develop independent benchmarks for validating models.
  • Prepare detailed reports describing model validation techniques and outcomes.
  • Establish productive working relations with internal model development groups.

Skills

Strong statistical background
Analytical and problem-solving skills
Experience with machine learning models
Hands-on experience with Python
Knowledge of retail banking products
Excellent communication skills
Good time management

Education

Graduate degree in statistics, economics, finance, mathematics, computer science or engineering

Tools

Python
SAS
R
Job description
Work Location

Toronto, Ontario, Canada

Hours

37.5

Line of Business

Analytics, Insights, & Artificial Intelligence

Pay Details

76,800 - 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

The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators' increasing attention on model risk. The Retail model validation team within MV is responsible for the vetting and approval of complex mathematical and statistical models used to measure the risk exposure inherent in retail and trading products, as well as to review, validate and approve models used for the calculation of risk capital for these businesses. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.

The position reports to Senior Manager, Retail Credit Risk, Model Validation

  • Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for projecting RWA capital (PD/LGD/EAD), Pre-Provision Net Revenue (PPNR) estimates for stress testing (DFAST, EWST) purposes, adjudication/management/collection for various retail products, marketing and analytics, etc.
  • Develop independent benchmarks for use in the validation of the above listed models. These benchmark models could be supervised learning, unsupervised learning and deep learning algorithms. Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
  • Prepare detailed reports describing the mathematical analytics of the model, validation techniques employed, test results obtained, and any model limitations noted.
  • Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
  • Establish and maintain productive working relations with internal model development groups such as US and CAD Retail Model Development, Financial Stress Testing (FST), etc., as well as external vendors who have developed customized models for TD.
  • Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
  • Stay current in knowledge of credit risk management methodologies, predictive modeling and statistical analysis.
Requirements and/or qualifications
  • Strong statistical background and excellent analytical and problem solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science and engineering.
  • 3-5 years of experience with model development/validation, including machine learning models, dealing with PPNR stress testing, scorecard and/or capital models
  • Hands-on experience with relevant programming languages, such as Python, SAS, R is a must
  • Knowledge in retail banking products, customer behaviours, and macroeconomic impacts is a definite asset
  • Excellent verbal and written communication skills
  • Good time management and multitasking skills
  • Quick learner who grasps new concepts and techniques quickly
  • Must be a good team player
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

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.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

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.

Language Requirement (Quebec only)

Sans Objet

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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