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Credit Risk Analyst Intern Jobs in Alberta (NOW HIRING)

Trafigura

Deals Desk Analyst, Oil

Calgary, AB · On-site

Produce comprehensive lookback analysis of Trading strategies, combining key risk metrics with review of historical performance. * Liaising with other key departments of Credit, Tax, Accounting and ...

National Bank

Credit Underwriter

Calgary, AB · Hybrid

Realize full-service client solutions by collaborating with internal teams and leveraging financial analysis. * Make sure you apply sound credit structuring and risk evaluation aligned with internal ...

Capital Power

Compliance Intern

Calgary, AB · On-site +1

We are currently seeking a Compliance Intern to join our Market & Trading Compliance team for a ... Risk, Legal, and Operations. * Assistingin data analysis and validation to support trade ...

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All JobsCredit Risk Analyst Intern JobsCredit Risk Analyst Intern Jobs in Alberta

Credit Risk Analyst Intern information

What are some typical projects or tasks a Credit Risk Analyst Intern might work on during their internship?

As a Credit Risk Analyst Intern, you can expect to assist with data gathering and analysis to evaluate the creditworthiness of clients or portfolios, support the preparation of risk assessment reports, and help monitor key risk indicators. Interns often work closely with senior analysts to develop financial models, conduct industry research, and contribute to presenting findings to stakeholders. This collaborative environment provides valuable exposure to risk management processes and offers hands-on experience with analytical tools that are highly valued in the finance industry.

What are the key skills and qualifications needed to thrive as a Credit Risk Analyst Intern, and why are they important?

To thrive as a Credit Risk Analyst Intern, you need strong analytical skills, proficiency in quantitative methods, and a background in finance, economics, or statistics, often supported by relevant coursework. Familiarity with Excel, statistical software (such as SAS or R), and financial modeling tools is typically expected. Attention to detail, effective communication, and a willingness to learn help interns stand out in collaborative, data-driven environments. These skills are crucial for accurately assessing creditworthiness, managing risk, and supporting informed lending decisions.

What is the difference between Credit Risk Analyst Intern vs Credit Risk Analyst?

AspectCredit Risk Analyst InternCredit Risk Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldBachelor's degree often required; certifications like CFA or FRM preferred
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, responsible for analysis and decision-making
Employer & Industry UsageInternship programs in banks, financial institutions, or credit agenciesFull-time positions in similar organizations, with increased responsibilities

The main difference between a Credit Risk Analyst Intern and a Credit Risk Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining industry exposure, while analysts are full-time professionals performing detailed credit risk assessments and decision-making.

What does a Credit Risk Analyst Intern do?

A Credit Risk Analyst Intern supports the credit risk team by analyzing financial data, assessing the creditworthiness of individuals or companies, and preparing reports on potential risks. They may assist in monitoring credit portfolios, researching industry trends, and helping to develop models that predict credit risk. Interns typically work under the supervision of senior analysts and gain hands-on experience with the tools and methodologies used in risk assessment. This role is an excellent opportunity for students to learn about financial analysis, risk management, and decision-making in a professional environment.
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Credit Risk Analyst Intern jobs near you

Machine Learning Engineer (BFSI) - MLEBAS

NavitasPartners

Calgary, AB • On-site

CA$30/hr

Full-time

Posted 11 days ago

Job description

Job Title: Machine Learning Engineer (BFSI)

Position Overview:
The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting.

Key Responsibilities:

  • Develop machine learning models and pipelines.
  • Build feature engineering frameworks.
  • Deploy production-grade ML solutions.
  • Optimize model performance and scalability.
  • Collaborate with data scientists and business teams.
  • Implement model monitoring and governance.

Required Skills:

  • Python
  • Machine Learning
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Spark ML
  • Feature Engineering
  • Model Deployment
  • SQL

Required Qualifications:

  • Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field.
  • 5+ years of machine learning experience.

Mandatory Industry Experience:

  • Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions.

For more details reach at resumes@navitassols.com