Senior Manager, Decisioning Models

Senior Manager, Decisioning Models – Retail & Small Business, Global Risk Management Join to apply for the Senior Manager, Decisioning Models – Retail & Small Business, Global Risk Management role at Scotiabank. Requisition ID: 240502. Responsibilities 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. Believe in always doing the right thing and doing things the right way. Be deeply curious and highly pragmatic. Be comfortable with ambitious but realistic goals and are committed to achieving them. Be social, engaging, not afraid to ask questions and learn from partners across the firm. 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 impact a real human being. Have a genuine love, passion and talent for programming, data, and predictive modeling. Be committed to quality in everything you do – statistically, process and governance wise. Look forward to sharing your insights through high-quality verbal & written communications. Be professional, motivated, and FUN. Qualifications Bachelor’s degree in mathematics, Computer Science, Engineering, or an equivalent technical field. 3+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models. Strong fundamental understanding of statistics. Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL and multiple environments (Unix & Windows). 1+ year of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro). Knowledge about credit risk models / scorecards. Proficient reading, writing, and speaking Spanish. Experience developing credit risk models / scorecards. Experience training and deploying machine learning models using common Python opensource frameworks (scikit-learn) and/or Python DevOps. Microsoft Office power user. Able to work remotely and on-site on multiple activities simultaneously and meet deadlines. Strong English-language verbal and written communications skills. Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS). Skills We would love to work with you if you have: 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. Proficient reading, writing, and speaking Spanish. Benefits 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. Your career matters Access to career development and progression opportunities. Location(s) Canada – Ontario – Toronto. EEO Statement At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and we are committed to creating and maintaining an inclusive and accessible environment for everyone. All candidates who are selected for an interview will be contacted. 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