Senior Model Validation Analyst - Remote Opportunity
About the Role
We are seeking a Senior Model Validation Analyst to join our team at Coast Capital Savings. This remote opportunity allows you to work from anywhere while engaging with cutting-edge technology and the Quantitative Risk team to support our business objectives.
What You'll Do
- Evaluate both new and established models to ensure they are sound, fit for purpose, and understandable.
- Test and identify limitations in model assumptions, documenting all findings effectively.
- Independently validate new and existing models by reviewing documentation and re-performing results, including ongoing monitoring.
- Collaborate with internal teams to communicate the outcomes of model validation and monitor findings through to remediation.
- Stay updated with emerging trends in technology by completing continuous education.
Requirements
- Bachelor's degree in Mathematics, Statistics, Finance, or a related field.
- Certification in Financial Risk Management (FRM) is an asset.
- 2-5 years of experience with statistical modeling tools and techniques.
- Experience with credit risk management or OSFI regulations including expected credit loss, capital adequacy requirements, and stress testing.
- Expertise in statistical modeling techniques, including experience with Python, AWS, and GitHub.
- Proficient in written and verbal communication skills.
Nice to Have
- Experience in the financial services industry.
- Knowledge of regulatory requirements in the banking sector.
- Familiarity with machine learning techniques.
What We Offer
- A competitive salary range of $73,800 - $92,300 CAD per year.
- Flexible working arrangements with a hybrid model.
- Commitment to equity, diversity, and inclusion in the workplace.
- Continuous learning and development opportunities.
- Supportive work environment that values diverse perspectives.
This Senior Model Validation Analyst role offers a competitive salary and the flexibility of remote work while promoting diversity and inclusion.
Who Will Succeed Here
Proficient in statistical modeling techniques using Python and libraries such as NumPy and pandas, with a solid understanding of credit risk management frameworks to effectively evaluate and validate financial models.
Ability to work independently in a remote environment while maintaining strong collaboration skills through tools like GitHub for version control and code reviews, ensuring seamless communication with the Quantitative Risk team.
Strong analytical mindset with a focus on identifying model limitations and ensuring compliance with financial regulations, coupled with a proactive approach to continuous learning in AWS services relevant to model deployment.
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