Manager, Data Scientists,Global Risk Management

Requisition ID About the Company Roynat Capital, a wholly owned subsidiary of Scotiabank, is a national lender and investor with expertise in providing innovative long-term capital solutions for mid‑sized companies utilizing senior term, subordinated debt, as well as mezzanine capital and common share equity. We provide tailored solutions to clients for acquisitions, business expansions, wealth monetization, and working capital enhancement. With a national presence in Canada in major markets, Roynat assists growth‑oriented companies in reaching their goals across a wide range of industries. 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. Job Title Manager in Retail Models & Analytics Make an Impact 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 or decisioning models and analytic processes. You will support – from conception through execution and governance – models covering 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 which may include Capital, Provisioning, Model Operations, Enterprise Stress Testing, Product, 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, 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. Responsibilities 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 global partners across the firm. 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 impact 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 professional, motivated AND FUN. We mean it. 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, 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. Skills General 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. Technical 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 one or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows). One or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro). Knowledge about credit risk models / scorecards. Nice to Have’s 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 regulatory capital, loss forecasting, provisioning, IFRS 9 or CECL 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). What’s in It for You? We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success You’ll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders. Access to thousands of online and in‑person courses so you can brush up on skills, or learn new ones. Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole. A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more Location Canada: Ontario: Toronto Equal Opportunity Statement 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. Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide as seamless a recruitment experience as possible. #J-18808-Ljbffr