Requisition ID: Join a purpose driven winning team, committed to results, in an inclusive and high:performing culture. Reporting to the Sr. Manager, Global Business Banking Risk Analytics and Reporting, the Data Engineer will work closely with senior management, GRM colleagues, business line leads, and a diverse set of stakeholders to generate insights and deliver strategic recommendations. The incumbent will drive analyses, support oversight, and strategic thought leadership across Business Banking portfolios, segments and industries, ensuring business strategies, plans and initiatives are supported in compliance with governing regulations, internal policies and procedures. Is this role right for you? In this role, you will: : Monitor Business Banking portfolio indicators, proactively analyzing performance alongside macro:economic and external trends; collaborate with the Lending Policy and Governance and GRM colleagues to establish recommendations based on data:driven observations and analyses. : Contribute to the GRM team and stakeholders in designing and developing reusable, scalable data engineering solutions. : Ensure high attention to detail, code quality, and robust architecture, while effectively translating business requirements into automated data pipelines and workflows. : Utilize external data sources to enhance insights and improve model accuracy, while effectively communicating results and methodologies to stakeholders and team members. : Measure and monitor credit score and policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on independent analysis of the risk:return trade:off. : Collaborate with GRM colleagues to improve portfolio monitoring and account management capabilities through integration of new models and frameworks. : Support annual strategic planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans. : Enable and deliver analyses and strategy development for Business Banking Credit Risk initiatives related to Capital optimization and Risk Adjusted Return on Capital. : Execute day:to:day activities in a manner consistent with the Bank's risk culture and the relevant risk appetite statement and limits. Communicate the Bank's risk culture and risk appetite statement. : Create an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day:to:day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct. : Build a high performance environment and implement a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team. Do you have the skills that will enable you to succeed in this role? : Wed love to work with you if you have: typedisc: : Post:secondary education focused in Computer Science, Electrical/Computer/Software Engineering or Mathematics; Master's degree preferred : 3:5 years of relevant work experience in data engineering or similar roles : 3:5 years of experience with Python, SQL, SAS : 3+ years of hands:on experience working with GCP or other major cloud providers : Solid analytical skills with comfortability working with large amounts of information and translating data into clear and concise findings : Strong data engineering and data pipeline skills, with the ability to efficiently build data pipelines to support pr