Senior Manager, Model Development

Requisition ID: Overview 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 calling 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 of dollars safe every single day. We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models, and explaining complex issues in simple concise ways. Role To be a Senior Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer; you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal stakeholders across the bank to understand and translate their needs into outcomes, exploring both novel and legacy datasets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important. Make an Impact. As a Senior Manager, you will report directly to a Director and be a critical member of a team overseeing the Bank’s Retail AIRB Capital Forecasting models, interpreting the results, and developing processes to support your stakeholders. You will support – from conception through execution and go will collaborate, on a regular basis, with a wide range of stakeholders across governance – models covering the Bank’s International retail lines (PD, LGD, EAD) that contribute to the Bank’s financial statements. You will work with internal partners which may include Decisioning, Provisioning, Model Operations, Enterprise Stress Testing, Model Validation and Governance, Technology & Data, Finance, 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, you will use these tools to develop and maintain advanced risk models that will be used to support bank-wide decision making worth billions of dollars 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 and priorities set for you, setting goals and priorities for your team, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates. Responsibilities Oversee the development, monitoring, and governance of retail risk models and analytics solutions. Collaborate with stakeholders across the bank to translate needs into outcomes using both novel and legacy datasets and methodologies. Partner with technology teams to ensure flawless implementation and ongoing model maintenance. Establish processes for model governance, performance review, and stakeholder reporting. Lead/contribute to data governance, model validation, and audit activities as required. Qualifications Bachelor's Degree in Mathematics, Computer Science, Engineering, Statistics 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 cross-functional collaboration. Strong English-language verbal and written communications skills; ability to distill requirements into analysis and communicate technical outcomes effectively. Ability to work remotely and on-site on multiple activities simultaneously and meet deadlines. Proven ability to foster collaboration, teamwork, and transparent communication. Experience in project management with risk identification and mitigation planning. Commitment to quality in statistics, processes, and governance. Strong written and verbal communication to share insights clearly. Leadership experience with mentoring and developing others. Passion for programming, data, and predictive modeling. Professional, motivated, and collaborative with a results-driven mindset. Skills Strong fundamental understanding of statistics. 5+ years of experience in analytic roles developing and using predictive, risk and/or forecasting models. Proficiency in one or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows). 1+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro). Knowledge about credit risk models / scorecards. Nice to Have Proficiency in reading, writing, and speaking Spanish. Experience developing credit risk models / scorecards. Domain expertise with retail & small business banking products and/or risk management practices. Experience training and deploying machine learning models using Python frameworks (e.g., scikit-learn). Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, SharePoint, Teams and PowerBI). What’s in it for you? An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success. Competitive rewards package: Performance bonus, Employee Share Ownership Program, Pension Plan Matching, Health Benefits from day one. Career development and progression opportunities. 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 during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please contact us. Candidates must apply 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. #J-18808-Ljbffr