Is this role right for you? In this role, you will: You believe, first and foremost, in always doing the right thing and doing things the right way.

You are both deeply curious and highly pragmatic.

You are comfortable with ambitious but realistic goals and are committed to achieving them.

You are social, engaging, not afraid to ask questions and relish the opportunity to learn from partners across the firm (who may be less technical than you) You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements or decisions that impacts a real human being.

You have a genuine love, passion and talent for programming, data, and predictive modeling.

You are committed to quality in everything you do – statistically, process and governance wise.

You look forward to sharing your insights through high-quality verbal & written communications.

You are skilled, motivated, AND FUN.

We mean it.

Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting and decisioning models.

Collaborate with risk management, vendors, technology, foreign counterparts, and compliance +audit to ensure effective governance, measurement & communication of model performance.

Conduct research of new innovative modeling methodologies, tools, and regulatory requirements.

Lead the periodic monitoring, recalibration and maintenance of models and analytic tools.

Identify, promote, and lead process improvements for model development and monitoring.

Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:



Experience in credit risk analytics, with direct hands-on/ knowledge experience in Credit Card portfolios Knowledge of Credit Card Portfolios with a strong focus on origination, limit management, and Lifecyle risk optimization will be an asset.

Graduate degree in mathematics, Computer Science, Engineering, or an equivalent technical field A demonstrated history of analytic problem solving and sound judgment.

Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams.

Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers.

Able to work remotely and on-site on multiple activities simultaneously and meet deadlines.

Strong fundamental understanding of statistics Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows) 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive) Experience training and deploying machine learning models using common Python opensource frameworks (i.e., scikit-learn) and/or Python Dev

Ops Microsoft Office (Excel, Word, Power

Point, Teams, PowerBI) power user Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS) What’s in it for you? An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success! We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one! Your career matters! You will have access to career development and progression opportunities.

📌 Senior Manager, Unsecured Lending Models (Toronto)
🏢 Scotiabank
📍 Toronto