Risk Analyst I

Risk Analyst I – Credit Risk Modeling

Start Date: ASAP

Duration: 12 months

Extension: Not available

Conversion: Not available

Schedule: Monday–Friday, core business hours

Location: Hybrid – Toronto, ON (4 days onsite)

Role Overview

Seeking a Risk Analyst I to support credit risk model development and enhancement within a leading financial institution. This role focuses on quantitative analysis, model calibration, and supporting regulatory risk models (PD, LGD, EAD) under the AIRB framework.

This is an entry-level opportunity suited for candidates with strong quantitative and programming backgrounds who are interested in risk modeling and financial analytics.

Key Responsibilities

Support development and calibration of credit risk models (PD, LGD, EAD)

Conduct data analysis including segmentation, backtesting, and performance validation

Clean, process, and analyze large datasets to support modeling activities

Execute and develop code using SAS, Python, R, or C++

Conduct research on modeling methodologies and industry best practices

Support model lifecycle activities including development, validation, and enhancement

Prepare technical documentation and reports outlining model assumptions and performance

Develop management summaries highlighting key findings and recommendations

Collaborate with internal stakeholders to support modeling initiatives

Required Qualifications

0–2 years of experience in quantitative analysis, data analysis, or risk-related roles

Bachelor’s degree in Mathematics, Computer Science, Statistics, or related field

Strong quantitative and analytical skills

Programming experience in SAS, Python, or R

Understanding of statistical modeling and data analysis techniques

Nice to Have

Familiarity with credit risk models or commercial lending models

Knowledge of quantitative finance techniques (e.g., Merton Model, Vasicek Model)

Experience with C or C++

Exposure to regulatory frameworks (Basel III, OSFI)

Soft Skills

Strong written and verbal communication skills

Strong work ethic and ability to adapt to changing priorities

Attention to detail and problem-solving mindset

Ability to work independently and within a team environment

Note: We use AI tools to obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and perform an initial match with the job posting.