Manager, Ifrs 9 Modelling

Requisition ID: 220413

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

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 provision (credit loss estimation) 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, 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.

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

- 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 (who may be less technical than you and might not speak English)
- 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
- You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
- You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
- 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 and motivated.

**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 an asset.
- Experience with credit risk forecasting and/or financial reporting frameworks an asset.
- Experience developing credit risk models / scorecards an asset.
- Experience working within loss forecasting, provisioning, IFRS 9 or CECL frameworks
- Domain expertise with any retail & small business banking products and/or risk management practices an asset.
- FRM, CFA credentials an asset.
- Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps an asset.
- Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user an asset.
- Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS) an asset.

**What’s in it for you?**
- An inclusive