Risk Analyst

🚨Looking for a Risk Analyst for a Financial Services client🚨

📍 Hybrid – 4 days onsite – Downtown Toronto
⏰ 12-month (with possibility of extension)
💰 $65/hr – $70/hr (INC)

This role will be responsible for managing, monitoring, and developing predictive risk models supporting Small Business, Commercial Banking, and Capital Markets portfolios. You will source complex data, engineer features, and deploy advanced machine learning and AI models designed to reduce credit losses and drive revenue. Working closely with adjudication teams and business stakeholders, you will bridge the gap between technical modeling and real-world commercial credit decisions.

Only candidates meeting ALL the following criteria will be considered

Required Qualifications:
-Relevant Education & Experience: Undergraduate degree in computer science, finance, mathematics, statistics, or economics, paired with at least 5 years of direct experience in credit risk modeling.
-Big Data & SQL Proficiency: Proven hands-on experience handling large datasets, including data ingestion, processing, and merging using SQL and cloud/big data ecosystems like PySpark, Hadoop, or AWS S3.
-Advanced Python Coding: Strong Python development skills to build efficient end-to-end model scoring pipelines and automate modeling workflows.
-Statistical & Machine Learning Methods: Deep technical understanding of advanced statistical methods, time series analysis, and machine learning techniques for both classification and regression tasks.
-Credit Risk Domain Expertise: Demonstrated expertise in developing and monitoring specialized credit risk models tailored for wholesale or commercial portfolios.
-Version Control & Command Line: Proficient in code management and version control solutions using GitHub, along with hands-on experience navigating UNIX command line environments.

📥 DM me with your resume to learn more 🙂

-no third-party vendors
-only suitable candidates will be contacted