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Randstad Logo Randstad · Banking

Junior Quantitative Analyst

Canada, Toronto · Job Posted May 05, 2026

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Job Description

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.

Job Responsibility

  • 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.

Requirements

  • Bachelor’s Degree required, specifically in Computer Science, Mathematics, Statistics, or a related quantitative field
  • 0–2 years of overall experience
  • Proficiency in programming (Python, SAS, or R is required)
  • Strong foundational knowledge of mathematical and statistical modeling
  • Familiarity with quantitative finance techniques (e.g., Merton or Vasicek models) and C/C++ is considered a strong asset
  • Excellent work ethic, adaptability to changing priorities, and strong written/verbal communication skills for technical reporting.

Nice to have

Familiarity with quantitative finance techniques (e.g., Merton or Vasicek models) and C/C++ is considered a strong asset.

What we offer

  • 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.
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