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Added 1 month ago
DS
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
- Full-time
…non-technical users alike. We are looking for big picture thinkers with strong communication skills and a track record of independent problem-solving. We value creativity and innovation,…
Added 1 month ago
E
Security Software Developer
Evertz
Markham, ON
- Full-time
1–2 years of experience with Python and Bash scripting
Added 1 month ago
D
Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
In this role, you will help our financial services industry (FSI) clients make high-stakes credit risk decisions with informed confidence. Much of your work will focus on validating credit…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
D
Manager, P&C Insurance Model Risk - Financial Engineering & Modelling
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 month ago
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- Full-time
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Added 1 month ago
Applied Data Scientist - Contract
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Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
…of AI platform capabilities. This is your chance to engage with state-of-the-art AI technologies, influence organizational direction at the executive level, and make a lasting impact on the…
Added 1 month ago
A
Director of AI
APPLY
Toronto, ON
- Full-time
Hands-on proficiency in Python and experience with modern application, data, and AI engineering frameworks.
Added 1 month ago
TT
Software Test Leader
Teledyne Technologies Incorporated
Richmond, BC · Canada - Richmond, BC
- Full-time
Partner with software, firmware, and hardware teams to improve product testability.
Added 1 month ago
RB
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
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Toronto, ON
- Full-time
Experience in software development with proficiency in Python, Java, or C++.
Added 1 month ago
FF
Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
Demonstrated experience as a backend software engineer with strong programming skills (Python preferred; experience with Ruby or Go is a plus).
Added 1 month ago
M
Director, Center for Inclusive Growth - Tech for Good
Mastercard
Toronto, ON
- Full-time
Experience with machine learning methods and data mining, utilizing advanced analytical techniques, algorithms, and methodologies (Python, R, SAS, etc.) preferred
Added 1 month ago
RF
UX Specialist
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Montreal, QC
- Full-time
This increased presence helps strengthen collaboration, maintain closer proximity with teams, support operational needs more effectively, and sustain a strong, vibrant, and aligned studio…
Added 1 month ago
HT
Researcher-AI Agents
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Strong programming and implementation skills, particularly in Python, with hands-on experience using modern deep learning frameworks such as PyTorch.
Added 1 month ago
L
Advanced Packaging & Integration Co-op Student
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Familiarity with Python, computer vision, and AI is considered a strong asset.
Added 1 month ago
H
Technical Specialist, Quality Assurance
Hitachi
Burnaby, BC · Toronto, ON · (RSBU) Burnaby
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 1 month ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
Added 1 month ago
B
Manager or Team Lead, Migration Engineering
BDO
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 1 month ago
Manager Credit Risk Provisions and Analytics
Scotiabank
Toronto, ON
Proficiency in SAS, SQL, Python, and VBA, with experience extracting, transforming, validating, and analyzing large datasets to support reporting, forecasting, and automation initiatives.
Added 1 month ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
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Ottawa, ON
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 1 month ago
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IP Routing App Engineer Co-op/Intern
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Ottawa, ON
- Full-time
…Computer/Software/Electrical/Telecommunications Engineering, Computer Science, or related field with an accredited school in…
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Generative AI Data Scientist & ML Engineer
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- Full-time
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.
Added 1 month ago
R
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
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- Full-time
Experience in software development with proficiency in Python, Java, or C++.
Added 1 month ago
C(
Senior Software Engineer, Agentic Systems
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Deloitte

Analyst, Credit Risk Models

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 9, 2026

Original job description

Job Type: Temporary ContractWork Model: HybridReference code: 134945Primary Location: Toronto, ONAll Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

Have many careers in one Firm.
Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
Learn from deep subject matter experts through mentoring and on the job coaching

--

What will your typical day look like?

In this role, you will help our financial services industry (FSI) clients make high-stakes credit risk decisions with informed confidence. Much of your work will focus on validating credit risk models, in addition to model development, benchmarking, and ad-hoc analytical projects. This means that you may challenge the design and assumptions underlying an IFRS 9, AIRB, or CCAR model, investigate how an adjudication or behavioral scorecard model performs under stress, develop a benchmark model using Python or R by leveraging statistics, machine learning and artificial intelligence, or translate complex analyses into clear recommendations for senior stakeholders. Consultants are expected to perform hands-on analysis and assist project managers with presenting findings, defending conclusions, and helping clients understand what results mean in the context of model risk, regulatory requirements, and business decisions.

This position will appeal to experienced candidates looking for technical depth and variety. You will be involved with multiple portfolios, modelling approaches, financial institutions, and regulatory frameworks. You will use your judgement to identify model limitations, explain their implications, and recommend ways forward. For candidates with backgrounds in banking, consulting, model development, or model validation, this is an opportunity to broaden your exposure while continuing to enhance your deep credit risk expertise. You may also collaborate with team members working in our parallel streams within the Financial Engineering & Modeling group, including market risk, internal audit, machine learning and artificial intelligence, financial crimes, treasury, and others.

About The Team

Deloitte's Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

Our work is often high profile, high impact, and highly rewarding. If you are looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you will find it in Risk, Regulatory & Forensics at Deloitte.

Enough About Us, Let’s Talk About You

You are someone with:

Recent full time or internship experience in modelling or data analytics, preferably within a credit risk model development or model validation team at a major financial institution or consulting firm, with a consistent record of achievement while collaborating with cross-functional teams.
A strong academic background, with a graduate degree (Masters or PhD) in a quantitative field such as mathematics, statistics, computer science, engineering or another relevant postgraduate discipline.
Comprehensive understanding and expertise of OSFI E-23 Model Risk Management Guidelines.
Proficiency in standard credit risk practices, including expected loss methodologies for Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), as well as a comprehensive understanding of supervisory and regulatory requirements for credit risk models, including the IFRS 9 and Basel frameworks.
Significant experience and demonstrated ability using Python and SQL. Proficiency in other programming languages such as SAS and R is highly desirable.
Excellent written and verbal communication skills, including the ability to document and communicate analytical findings effectively.
A goal-oriented mindset and strong motivation to achieve targets and make a positive impact, while consistently embodying the company’s core values of trust, teamwork, and accountability.

Total Rewards

The salary range for this position is $56,000 - $84,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You Shape How We Make Impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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More about this job

Responsibilities

The role involves validating, developing, and benchmarking credit risk models for financial services clients. Responsibilities include challenging model assumptions, performing hands-on analysis, and translating complex findings into recommendations for senior stakeholders.

Requirements

Candidates must have a postgraduate degree in a quantitative field and experience in credit risk modeling or data analytics. Proficiency in Python, SQL, and a deep understanding of OSFI E-23 and IFRS 9 regulatory frameworks are required.

Skills

Credit Risk Modeling
Model Validation
Python
SQL
IFRS 9
Basel Framework
OSFI E-23
Probability of Default (PD)
Loss Given Default (LGD)
Exposure at Default (EAD)
Machine Learning
Artificial Intelligence
R
SAS
Data Analytics
Stakeholder Communication

Benefits

Mental health support benefits
Flexible benefit spending account
Development and Innovation Days
Flexible work arrangements
Hybrid work structure
Paid vacation days

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk
Model Risk Management
IFRS 9
AIRB
CCAR
OSFI E-23
Basel
Python
SQL
R
SAS
Machine Learning
Artificial Intelligence
Probability of Default
Loss Given Default
Exposure at Default
Financial Services Industry
Model Validation
Model Development
Benchmarking
Quantitative Analysis
Risk Management
Regulatory Compliance
Data Analytics
Financial Engineering

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