Manager, Forecasting Models - Retail & Small Business

Scotiabank•Toronto, ON

3d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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)

Responsibilities

Lead with integrity and are committed to doing the right thing, the right way.
Combine intellectual curiosity with practical problem-solving to drive meaningful outcomes.
Embrace ambitious goals and take ownership of delivering measurable results.
Enjoy collaborating with diverse stakeholders and learning from colleagues across different functions, backgrounds, and technical skillsets.
Appreciate the responsibility that comes with developing models that directly influence the Bank's financial and regulatory reporting.
Interpret complex regulatory requirements and identify opportunities to enhance efficiency while maintaining the highest standards of compliance.
Possess a strong understanding of credit risk fundamentals, including PD, LGD, EAD, and RWA, and can apply these concepts across a variety of portfolios and products.
Have a passion for programming, analytics, data, and predictive modeling, and enjoy solving complex business challenges through quantitative methods.
Hold yourself to a high standard of quality, rigor, and governance in both your analytical work and decision-making.
Communicate complex concepts clearly and effectively through both written and verbal presentations.
Bring energy, professionalism, and a collaborative spirit to everything you do while enjoying the journey along the way.