Intern - Credit Risk, Winter 2027

Hybrid

Posted 9 days ago

PCF - President's Choice Financial

AI summary

The Intern, Credit Risk Scoring, will assist in developing, monitoring, and optimizing credit risk scorecards while analyzing data to provide insights and recommendations for risk management and decision-making.

Eligible from: Canada only

Job Description

Work Term: January - April 2027

The Intern, Credit Risk Scoring, supports the development, monitoring, validation, and optimization of credit risk and account management scorecards across the customer lifecycle. Through the analysis of customer, portfolio, and performance data, the Intern generates insights, reporting, and recommendations that support scorecard development, risk management, model governance, and business decision-making.

Responsibilities

The Core Responsibilities of the Job:

Analyze customer data to identify trends, opportunities, and emerging risks across acquisition, account management, and fraud risk strategies.

Develop, maintain, and enhance recurring score monitoring reports, dashboards, KPI tracking, and analytical tools to support model governance and risk oversight.

Support the development, recalibration, and optimization of credit risk and account management scorecards through quantitative analysis and performance evaluation.

Perform scorecard performance monitoring using statistical measures.

Assist in model validation, challenger model testing, and performance assessments under the guidance of senior team members.

Produce ad hoc analyses, business insights, and management presentations supporting scorecard strategy reviews and model enhancement initiatives.

Apply analytical techniques, statistical methods, machine learning concepts, and data visualization tools to generate actionable business insights.

Collaborate with stakeholders across Credit Risk, Fraud, AML, Product, Marketing, Operations, and Model Risk Management to support cross-functional initiatives.

Contribute to the continuous improvement of analytical methodologies, model monitoring processes, reporting automation, and decision-support tools.

Requirements

Let's Talk About You!

Bachelor's degree in quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Data Science, Physics, Economics, or another STEM-related field.

Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.

Strong analytical and problem-solving skills with the ability to translate data into meaningful insights and recommendations.

Excellent attention to detail and commitment to data quality and accuracy.

Effective written and verbal communication skills, with the ability to explain analytical findings to both technical and non-technical audiences.

Demonstrated ability to learn quickly, adapt to changing priorities, and work effectively in a fast-paced environment.

Experience with data visualization tools, cloud-based analytics platforms, machine learning, or statistical modelling is considered an asset.

Strong Microsoft Office skills, particularly Excel and PowerPoint.

Curiosity, initiative, and a willingness to develop expertise in credit risk, fraud prevention, customer acquisition, and financial services analytics.

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About the job

Posted on: Sep 15, 2026
Job type: Internship
Location: TorontoHybrid

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AI summary

Job Description

Work Term: January - April 2027

Responsibilities

The Core Responsibilities of the Job:

Requirements

Let's Talk About You!

Ready to Apply?

About the job

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