Risk Analyst - Credit Risk Modeling (SQL/Python)

Risk Analyst - Credit Risk Modeling (SQL/Python):

On behalf of our Banking client, Procom is searching for a Risk Analyst - Credit Risk Modeling (SQL/Python) for a 12-month role. This position is a hybrid position with 4 days onsite at our client’s Toronto, Ontario office.

Risk Analyst - Credit Risk Modeling (SQL/Python) - Job Description:

This role involves managing, monitoring, and developing predictive risk models to support Small Business, Commercial Banking, and Capital Markets in Commercial & Wholesale Credit Risk. The project focuses on developing new models and enhancing existing ones to reduce losses or drive revenue.

Risk Analyst - Credit Risk Modeling (SQL/Python) - Responsibilities:

• Manage and develop a variety of predictive risk models, including machine learning, AI, credit scoring, and surveillance models.

• Source data, engineer features, and deploy models for effective credit risk management.

• Extract, clean, validate, and analyze data from multiple sources to understand borrower behavior.

• Participate in data assessment and procurement, automate credit modeling processes, and address data gaps.

Risk Analyst - Credit Risk Modeling (SQL/Python) - Mandatory Skills:

• Undergraduate degree in computer science, finance, mathematics, statistics, or economics.

• At least 5 years of experience in Credit Risk modeling roles.

• Knowledge of credit risk models and time series analysis.

• Experience with large datasets and big data/cloud technologies (Hadoop, PySpark, S3).

• Proficiency in SQL and Python for model scoring and implementation.

• Understanding of advanced statistical methods and machine learning techniques.

• Experience with code sharing and version control solutions (GitHub).

Risk Analyst - Credit Risk Modeling (SQL/Python) – Nice-to-Have Skills:

• Master degree in computer science, finance, mathematics, statistics, or economics.

• Knowledge of GenAI use cases in retail/commercial lending.

• Familiarity with other programming languages such as R, Java, or SAS.

• Experience in model development for IFRS9, stress testing, or capital measurement.

Risk Analyst - Credit Risk Modeling (SQL/Python) – Assignment Length:

This is a 12-month contract position.

Risk Analyst - Credit Risk Modeling (SQL/Python) - Start Date:

ASAP.

Risk Analyst - Credit Risk Modeling (SQL/Python) - Assignment Location:

Toronto, Ontario, Canada. This is a hybrid role requiring 4 days in the office.