Manager, Data Science - Contract

Job Title: Manager, Data Science - Contract

Location: Toronto, Ontario, Canada

Scotiabank, a leading bank in the Americas, is looking for a dynamic and driven Manager in Data Science to join our highly skilled team within the Global Risk Management unit. This is your chance to be part of a purpose-driven winning team dedicated to results, advocating for an inclusive and high-performing culture.

Role Overview:

The Internal Ratings Management team is essential in credit risk modeling for the Bank’s Business Banking portfolio. Your role will involve developing and managing borrower risk rating models, estimating credit risk parameters critical for regulatory capital purposes, and providing expert guidelines and advice on model use to business partners.

By joining us, you will directly contribute to the bank’s objective of leading The Americas, focusing on putting customers first. Utilize your skills in a setting where advanced machine learning tools and extensive data sets are used to shape financial strategies that safeguard billions of dollars daily.

Key Responsibilities:

• Develop, enhance and maintain models for estimating credit risk parameters like PD, LGD, and EAD.
• Lead research and model testing initiatives to ensure precision, stability, and compliance in all outputs.
• Collaborate extensively with stakeholders across Model Validation and Governance, Finance, Compliance, and Audit departments.
• Deliver comprehensive documentation and communicate analytical results effectively to both internal and external parties.
• Stay updated with the latest developments in credit risk analytics and contribute to the enhancement of tools and practices.

Is This Role Right For You?

If you thrive in a challenging environment, possess a solid ethical foundation, and are eager to impact our financial statements positively, this position might just be perfect for you. We are looking for someone who not only excels in technical skills but also values collaboration, quality, and continuous learning.

Skills and Qualifications:

• Proven computing and development skills in SQL, Python, SAS, R, and other data modeling tools.
• At least 1 year of hands-on experience in quantitative analysis and machine learning, preferably within credit risk management.
• Strong grasp of statistical techniques and a detail-oriented approach towards data analysis.
• Excellent communication skills with the ability to manage multiple priorities effectively.
• Advanced degree in Statistics, Computer Science, or a related quantitative field.

Nice to Have:

• Background in developing credit risk models and familiarity with Basel regulatory requirements.
• FRM or CFA credentials are an asset.
• Experience with machine learning models deployment using Python frameworks like scikit-learn.

What's in it for You?

Join Scotiabank and embrace the opportunity to make an impact with a forward-thinking and collaborative team. Enjoy a competitive compensation and benefits package, coupled with a wealth of career development opportunities. We're committed to fostering an inclusive and accessible workplace, where everyone feels valued, respected, and supported.

This position is based in downtown Toronto, King St W, and offers a blend of remote and on-site work arrangements, promoting flexibility and balance.

Ready to advance your career at Scotiabank? Apply today!

Scotiabank: For Every Future

We thank all applicants; however, only those selected for an interview will be contacted.