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Senior Manager, Model Development and Analytics
2 months ago
We are seeking a highly skilled and experienced Senior Manager to join our team at Scotiabank. As a Senior Manager, Model Development and Analytics, you will be responsible for leading the development and maintenance of advanced risk models that support bank-wide decision making.
Key Responsibilities- Develop and maintain advanced risk models that are precise, accurate, stable, explainable, compliant, secure, and useful.
- Collaborate with cross-functional teams, including finance, data governance, technology, and compliance, to ensure effective governance, measurement, and communication of model performance.
- Conduct research on 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, recalibration, monitoring, and daily operations.
- Develop or rebuild models taking into consideration all aspects of the product, business processes, data quality, and integrity.
- Bachelor's Degree in Mathematics, Computer Science, Engineering, or an equivalent technical field.
- 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.
- Able to work remotely and on-site on multiple activities simultaneously and meet deadlines.
- Demonstrated track record in cultivating an environment that promotes collaboration, teamwork, and transparent communication.
- Proven expertise in project management, demonstrated by a consistent track record of identifying potential risks and proactively crafting mitigation strategies.
- Strong fundamental understanding of statistics.
- 5+ years of overall experience in analytic roles developing and using predictive, risk, and/or forecasting models.
- Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows).
- 1 or more years of experience with big data platforms/integration (Hadoop, Spark, Hive, Avro).
- Knowledge about credit risk models/scorecards.
- Proficiency in reading, writing, and speaking Spanish.
- Experience developing credit risk models/scorecards.
- Domain expertise with any retail & small business banking products and/or risk management practices.
- Experience training and deploying machine learning models using common Python open-source frameworks (i.e., scikit-learn) and/or Python DevOps.
- Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, SharePoint, Teams, and PowerBI).
