Job Opportunity: Junior Quantitative Analyst (Model Development)
We are currently recruiting for a Junior Quantitative Analyst on behalf of our client, a leading Financial Institution located in the heart of Toronto’s Financial District. This is an exceptional opportunity for a motivated professional with 0–2 years of experience to join a high-performing team focused on credit risk model recalibration and enhancement.
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Job Description
In this role, you will be a key contributor to the Non-Retail Model Development (NRMD) team. Your primary focus will be the development and ongoing support of Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models. These models are critical to the bank’s Advanced Internal Ratings Based (AIRB) framework, directly impacting Risk Weighted Assets (RWA) and Capital requirements under Basel III and OSFI regulations.
You will work in a hybrid environment (4 days per week onsite) at the TD Centre in Toronto, utilizing advanced statistical approaches and multiple programming languages to navigate evolving regulatory requirements and industry best practices.
Advantages
Advantages
•Premier Organization: Gain experience within a top-tier North American Financial Institution.
•Professional Growth: Comprehensive 2–4 week training period designed to integrate you into complex modeling workflows.
•High-Impact Projects: Contribute directly to Return on Equity (ROE) initiatives through model recalibration and enhancement.
•Collaborative Culture: Work within a tight-knit team of eight experts in an environment that values innovation and academic rigor.
Responsibilities
Responsibilities
•Model Development: Perform key tasks in AIRB model development, including calibration, performance testing, and data cleansing.
•Programming & Analysis: Read, write, and execute code in SAS, Python, R, and C++ to support portfolio segmentation, backtesting, and benchmarking.
•Documentation: Prepare detailed technical reports outlining statistical backgrounds, modeling choices, and compliance with regulatory guidelines.
•Research: Conduct literature reviews to identify modeling best practices (e.g., Monte Carlo simulations, bootstrapping, and expected utility maximization).
•Stakeholder Communication: Participate in daily touchpoints with management and prepare summaries of key decisions and modeling outcomes for internal stakeholders.
Qualifications
Qualifications & Certifications
•Education: Bachelor’s Degree required, specifically in Computer Science, Mathematics, Statistics, or a related quantitative field.
•Experience: 0–2 years of overall experience (ideal for recent graduates or early-career professionals).
•Technical Skills: * Proficiency in programming (Python, SAS, or R is required).
oStrong foundational knowledge of mathematical and statistical modeling.
oFamiliarity with quantitative finance techniques (e.g., Merton or Vasicek models) and C/C++ is considered a strong asset.
•Soft Skills: Excellent work ethic, adaptability to changing priorities, and strong written/verbal communication skills for technical reporting.
Summary
Summary
This position is a perfect fit for a mathematically-minded professional looking to build a career in Risk Management. If you enjoy deep-diving into data, investigating suitable modeling methodologies, and seeing your work influence the capital adequacy of a major financial entity, we encourage you to apply.
Work Location: Hybrid (4 days onsite at 66 Wellington Street West, Toronto)
Travel: None required
Format: 2 Interview Rounds (1 Virtual, 1 In-Person)
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
Job Opportunity: Junior Quantitative Analyst (Model Development)
We are currently recruiting for a Junior Quantitative Analyst on behalf of our client, a leading Financial Institution located in the heart of Toronto’s Financial District. This is an exceptional opportunity for a motivated professional with 0–2 years of experience to join a high-performing team focused on credit risk model recalibration and enhancement.
________________________________________
Job Description
In this role, you will be a key contributor to the Non-Retail Model Development (NRMD) team. Your primary focus will be the development and ongoing support of Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models. These models are critical to the bank’s Advanced Internal Ratings Based (AIRB) framework, directly impacting Risk Weighted Assets (RWA) and Capital requirements under Basel III and OSFI regulations.
You will work in a hybrid environment (4 days per week onsite) at the TD Centre in Toronto, utilizing advanced statistical approaches and multiple programming languages to navigate evolving regulatory requirements and industry best practices.
...
Advantages
Advantages
•Premier Organization: Gain experience within a top-tier North American Financial Institution.
•Professional Growth: Comprehensive 2–4 week training period designed to integrate you into complex modeling workflows.
•High-Impact Projects: Contribute directly to Return on Equity (ROE) initiatives through model recalibration and enhancement.
•Collaborative Culture: Work within a tight-knit team of eight experts in an environment that values innovation and academic rigor.
Responsibilities
Responsibilities
•Model Development: Perform key tasks in AIRB model development, including calibration, performance testing, and data cleansing.
•Programming & Analysis: Read, write, and execute code in SAS, Python, R, and C++ to support portfolio segmentation, backtesting, and benchmarking.
•Documentation: Prepare detailed technical reports outlining statistical backgrounds, modeling choices, and compliance with regulatory guidelines.
•Research: Conduct literature reviews to identify modeling best practices (e.g., Monte Carlo simulations, bootstrapping, and expected utility maximization).
•Stakeholder Communication: Participate in daily touchpoints with management and prepare summaries of key decisions and modeling outcomes for internal stakeholders.
Qualifications
Qualifications & Certifications
•Education: Bachelor’s Degree required, specifically in Computer Science, Mathematics, Statistics, or a related quantitative field.
•Experience: 0–2 years of overall experience (ideal for recent graduates or early-career professionals).
•Technical Skills: * Proficiency in programming (Python, SAS, or R is required).
oStrong foundational knowledge of mathematical and statistical modeling.
oFamiliarity with quantitative finance techniques (e.g., Merton or Vasicek models) and C/C++ is considered a strong asset.
•Soft Skills: Excellent work ethic, adaptability to changing priorities, and strong written/verbal communication skills for technical reporting.
Summary
Summary
This position is a perfect fit for a mathematically-minded professional looking to build a career in Risk Management. If you enjoy deep-diving into data, investigating suitable modeling methodologies, and seeing your work influence the capital adequacy of a major financial entity, we encourage you to apply.
Work Location: Hybrid (4 days onsite at 66 Wellington Street West, Toronto)
Travel: None required
Format: 2 Interview Rounds (1 Virtual, 1 In-Person)
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
