Job Description

Requisition ID: 232124



Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.



The world is changing faster than ever and so are we!

"Big data", "machine learning" and "AI" are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support - from conception through execution and governance - the regulatory capital (AIRB) models covering all of the Bank's retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Finance, Collections, Model Validation and Governance, Technology & Data, Compliance and Audit.

You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.
Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

Is this role right for you? In this role, you will:

Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models Prepare attribution and/or stock-flow analysis of product portfolios Collaborate with risk management, vendors, technology and compliance + audit to ensure effective governance, measurement & communication of model performance Accurately estimate impacts and implement the models developed, recalibrated and maintained in production platforms 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:

Bachelor's 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 2+ 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 Proficient reading, writing and speaking Spanish Experience with credit risk forecasting and/or financial reporting frameworks Experience developing credit risk models / scorecards Experience working within loss forecasting, AIRB or IFRS9 frameworks Domain expertise with any retail & small business banking products and/or risk management practices FRM, CFA credentials Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)


Location(s): Canada : Ontario : Toronto



Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.



At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.