Risk Analyst - 56397

S I Systems; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading analytics firm in Toronto is seeking a Risk Analyst with a Master's degree in quantitative disciplines. The ideal candidate will have 1-3 years of experience in credit risk model development. Responsibilities include enhancing credit risk models and conducting comprehensive analytics. This role offers a one-year contract providing exposure to various types of models and processes in risk areas.

Qualifications

• 1-3 years of relevant working experience depending on the overall qualification.
• Academic background in quantitative areas – relevant experience in credit risk model development/stress testing.

Responsibilities

• Implement and enhance credit risk stress testing/forecasting models.
• Assist with analytics and reporting activities such as scenario analysis and sensitivity analysis.
• Build and maintain analytics platforms for the above.
• Effectively communicate model methodology and maintain documentation.
• Ensure compliance with the bank's Model Risk Policy & Data Governance requirements.
• Contribute to the enhancement of current models and develop new credit risk models.

Skills

Degree in Statistics, Mathematics, Financial Engineering, Economics

Coding experience in SAS

Knowledge of credit risk models or stress testing

Excellent communication skills

Strong conceptual, analytical, and problem-solving skills

Education

Master and above in quantitative disciplines

Tools

SAS

Python

MATLAB

C++

Job description

Overview

Candidate profile and job details for a Risk Analyst role.

Candidate Profile

• Degree/Certifications Required: Master and above in quantitative disciplines
• Years of Overall Experience: 1-3 years of relevant working experience depending on the overall qualification
• Ideal Candidate Background: Academic background in quantitative areas – relevant experience in credit risk model development/stress testing
• How will performance be measured: deliverables
• Selling Points of Position (CVP): 1 year contract – Exposure to different types of models/processes in risk areas

Responsibilities

• Implement and enhance credit risk stress testing/forecasting models.
• Assist with analytics and reporting activities such as scenario analysis, sensitivity analysis, attribution analysis, impact assessment, etc.
• Build and maintain analytics platforms for the above.
• Effectively communicate model methodology and maintain well-articulated documentation.
• Ensure compliance with the bank's Model Risk Policy & relevant Data Governance requirements.
• Maintain and contribute to the enhancement of the current models and develop credit risk models for new business lines as required.

Must-Have Hard Skills

• Degree in Statistics, Mathematics, Financial Engineering, Economics, or other related quantitative disciplines
• Coding experience in SAS
• Knowledge of credit risk models or stress testing models/processes

Soft Skills

• Excellent communication skills, verbally and in writing
• Strong conceptual, analytical, and problem-solving skills

Nice-to-Have

• Ability to read and write Python/MATLAB/C++ code is an asset
• Experience of developing credit risk models or stress testing models for Bank's lending portfolios.